#product launch photographer in gurgaon

[ankitnandwani]

The Power of Product Photography: A Guide for E-commerce Success

At its core, product photography by top product photographer in india is about storytelling. Each image should convey the essence of the product, highlighting its features, benefits, and unique selling points. Consider the narrative you want to communicate to your audience and strive to capture images that align with your brand's identity and values.

[bananaipindia]

Google and Youtube Lose Copyright Infringement Battle,Liam Hemsworth Sued for Copyright Infringement,Diego Maradona Cries Foul Against Dolce and Gabbana and more

New Post has been published on https://www.bananaip.com/ip-news-center/google-and-youtube-lose-copyright-infringement-battleliam-hemsworth-sued-for-copyright-infringementdiego-maradona-cries-foul-against-dolce-and-gabbana-and-more/

Google and Youtube Lose Copyright Infringement Battle,Liam Hemsworth Sued for Copyright Infringement,Diego Maradona Cries Foul Against Dolce and Gabbana and more

Google and Youtube Lose Copyright Infringement Battle; Disney and Lucas film Sue Mouseprint Media LLC for Copyright Infringement; Bella Hadid Sued for Posting Infringing Pictures; Liam Hemsworth Sued for Copyright Infringement; Diego Maradona Cries Foul Against Dolce and Gabbana; Rebel Wilson Hit with Federal Law Suit for Infringement; Lawsuit Against Apple: Apple Music Streams without Proper License; Mighty Music Player Now Compatible with Amazon Music; The Holy Trifecta to Create an Open-Source Smart Home Standard and more.

Entertainment Law News

Google and Youtube Lose Copyright Infringement Battle

Suneel Darshan, proprietor of Shree Krishna International, a film production company, filed a permanent injunction suit against Google India and Youtube LLC in the Gurgaon District Court. The reputed film maker has produced many films including Andaaz, Barsaat, Dosti etc. The claim was that the streaming giant had infringed upon the sound recording, cinematograph films and audio visual songs without the Plaintiff’s prior authorisation and further stated that the ‘unauthorized downloader’ and the defendants were sharing the ad revenue generated from this, causing monetary loss to the Plaintiff.

Although it was argued on behalf of the defendants that they were merely providing a platform for the exhibition of his work, and that they were not aware that copyright was infringed, however, owing to the monetary loss suffered by the Plaintiff, the Court ruled in favour of the Plaintiff.

Disney and Lucas film Sue Mouseprint Media LLC for Copyright Infringement

Mouseprint LLC, also known as Disgear is alleged to have been selling merchandise copying Disney’s logos, designs and products. The lawsuit contains a plethora of examples beginning with the logo of the company itself. A prior trademark application filed by the Winter Garden Business was denied based on deceptive similarity. Disney cited multiple products on the site that can be compared to Disney affiliated merchandise such as pirate Mickey Mouse, Tinker Bell, Darth Vader etc. Disney had sent the company two cease and desist letters to no avail and were left with no option but to file a law suit for damages that have not been specified.

Bella Hadid Sued for Posting Infringing Pictures

Xposure, a company that maintains the business of licensing photographs to leading magazines, newspapers etc. is suing Bella Hadid for copyright infringement as she blatantly ripped off pictures and posted it on her Instagram account without the license or prior consent of the Company. The Company stands to face losses as no company would pay to have a license on a photograph that is readily available on social media. Xposure further claims that, as the famed model uses her Instagram page for promotion of her business, products, interests etc. her conduct is unlikely to be protected under the fair use provisions of the Act. Xposure is claiming damages to the tune of USD 150,000 per infringement, or the actual damages suffered by the Company.

Liam Hemsworth Sued for Copyright Infringement

Liam Hemsworth faces a copyright infringement suit filed by Splash News and Picture Agency over a photograph taken during the production of the film, ‘Isn’t it romantic’ which he posted to his Instagram account. The picture was originally taken by Janet Mayer during the shooting of an outdoor scene. Splash News and Picture Agency claim that the actor posted the picture, without Mayer’s permission or any mode of payment. The Plaintiff’s attorneys further go on to state that the use of the photograph was to encourage the actor’s followers to vote for him and the Movie at the Teens Choice Awards and that the act was wilful and malicious as part of a deliberate marketing gimmick.

Diego Maradona Cries Foul Against Dolce and Gabbana

The 2016 Fall Alta Moda collection in Naples by Dolce & Gabbana contained a model with a sky blue jersey, with a number ten on the back and the name Diego Maradona in silk and crystals. While initially, Maradona called the design a great sign of respect to Naples, he ultimately called foul through an Italian law suit under the Industry Property Code. The claim was that the brand was using his likeness for commercial purposes and was likely to confuse consumers as to his attachment with the brand when he did not endorse the product.

The suit was initially filed in 2016, with Maradona claiming damages worth USD 1 Million. The Court agreed with the reasoning of the Plaintiff, stating that the use of a distinctive name which signifies an attachment of the footballing icon to the brand without the permission of the former, was a violation of the Italian Industry Property Code. The Courts have prescribed damages of USD 70,000 to be paid to the Argentinian  by one of the pioneers in modern fashion.

Rebel Wilson Hit with Federal Law Suit for Infringement

In another instance involving Xposure, the photo licensing business has filed a suit against ‘Isn’t it Romantic’ star Rebel Wilson for copyright infringement. The Australian Actress uploaded photos without the consent of the copyright owners. The photos in question were taken during an outdoor shoot for the film, Hustle, with Anne Hathaway also a part of the pictures. Xposure had sold the photographs to the Daily Mail in 2018 and in the immediate aftermath of the actress posting the picture, sent her a cease a desist later warning her to have it removed. It was further claimed that this form of piracy deprives the agency of licensing fees as well as devalues the syndication value of the work. The claim for damages is USD 150,000 accompanied with a permanent injunction against the actress from ever posting their work on social media again.

Licensing News

Lawsuit Against Apple: Apple Music Streams without Proper License

Pro Music Rights (PMR), a for profit performing rights organisation, with one sole member, founder Jake P Noch, has filed a lawsuit against Apple for unpaid royalties and copyright infringement related to 15 registered copyrights. PMR with around 7.4% of the market share, has rights to license over two millions songs. PMR claims that Apple has streamed and continues to stream a selection of copyrighted music without entering into an agreement with the copyright holder for public performance royalties.

A letter was sent to Apple notifying that the company must acquire public performance licenses. The Statutory Licensing Division of Music replied on the behalf of Apple stating their intent to acquire public licenses. Further attempts to try and strike a deal with Apple by PMR were rebuffed. There has been no mention of where the streaming service publicly performed this music. The claim for damages is USD 150,000 per each act of infringement and court fees.

Mighty Music Player Now Compatible with Amazon Music

The Mighty music player has now announced its compatibility with Amazon music, providing an avenue for users to add music to their offline library from Amazon Music. The device had initially launched with support for Spotify but has now expanded to include other music services. This new compatibility modification allows for users to stream music without a phone, a screen or an internet connection. Mighty was founded by former Dolby, Google and Samsung employees. The Mighty vibe offers enough storage space for 1000+ songs and offers up to five hours of continuous playback.

The Holy Trifecta to Create an Open-Source Smart Home Standard

Amazon, Apple and Google are teaming up to develop an open source smart home standard that will be compatible with all makes of devices from different companies. The project is meant to guarantee that that your Smart Home device will work regardless of the make and model of your smartphone or voice assistant. The smart home industry at large has provided support to this project. Technology from all three companies will contribute to this new standard. The details of whether this will simplify the connectivity process across platforms and whether it will standardize a wide range of smart home commands is still unclear. However, the customers do seem to be the beneficiaries, not having to worry about compatibility issues of the products during the purchase. Initially, the focus will be on devices to maintain security such as smoke alarms and door locks, followed by other commercial products to supplement this.

  Authored and compiled by  Neharika Vhatkar (Associate, BananaIP Counsels) and Shashank Venkat (Legal Intern)

The Entertainment Law and Licensing News Bulletin is brought to you jointly by the E-Commerce Law, Entertainment Law and Consulting/Strategy Divisions of BananaIP Counsels, a Top IP Firm in India. If you have any questions, or need any clarifications, please write to contact@bananaip.com  with the subject: Licensing News.

Disclaimer: Please note that the news bulletin has been put together from different sources, primary and secondary, and BananaIP’s reporters may not have verified all the news published in the bulletin. You may write to contact@bananaip.com  for corrections and take down.

[computerguideworld-blog]

Agtech startup Imago AI is using computer vision to boost crop yields

New Post has been published on https://computerguideto.com/must-see/agtech-startup-imago-ai-is-using-computer-vision-to-boost-crop-yields/

Agtech startup Imago AI is using computer vision to boost crop yields

Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and reducing food waste. As startup missions go, it’s an impressively ambitious one.

The team, which is based out of Gurgaon near New Delhi, is using computer vision and machine learning technology to fully automate the laborious task of measuring crop output and quality — speeding up what can be a very manual and time-consuming process to quantify plant traits, often involving tools like calipers and weighing scales, toward the goal of developing higher-yielding, more disease-resistant crop varieties.

Currently they say it can take seed companies between six and eight years to develop a new seed variety. So anything that increases efficiency stands to be a major boon.

And they claim their technology can reduce the time it takes to measure crop traits by up to 75 percent.

In the case of one pilot, they say a client had previously been taking two days to manually measure the grades of their crops using traditional methods like scales. “Now using this image-based AI system they’re able to do it in just 30 to 40 minutes,” says co-founder Abhishek Goyal.

Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.

“Some of the phenotypic traits they are not possible to identify manually,” says co-founder Shweta Gupta. “Maybe very tedious or for whatever all these laborious reasons. So now with this AI-enabled [process] we are now able to capture more phenotypic traits.

“So more coverage of phenotypic traits… and with this more coverage we are having more scope to select the next cycle of this seed. So this further improves the seed quality in the longer run.”

The wordy phrase they use to describe what their technology delivers is: “High throughput precision phenotyping.”

Or, put another way, they’re using AI to data-mine the quality parameters of crops.

“These quality parameters are very critical to these seed companies,” says Gupta. “Plant breeding is a very costly and very complex process… in terms of human resource and time these seed companies need to deploy.

“The research [on the kind of rice you are eating now] has been done in the previous seven to eight years. It’s a complete cycle… chain of continuous development to finally come up with a variety which is appropriate to launch in the market.”

But there’s more. The overarching vision is not only that AI will help seed companies make key decisions to select for higher-quality seed that can deliver higher-yielding crops, while also speeding up that (slow) process. Ultimately their hope is that the data generated by applying AI to automate phenotypic measurements of crops will also be able to yield highly valuable predictive insights.

Here, if they can establish a correlation between geotagged phenotypic measurements and the plants’ genotypic data (data which the seed giants they’re targeting would already hold), the AI-enabled data-capture method could also steer farmers toward the best crop variety to use in a particular location and climate condition — purely based on insights triangulated and unlocked from the data they’re capturing.

One current approach in agriculture to selecting the best crop for a particular location/environment can involve using genetic engineering. Though the technology has attracted major controversy when applied to foodstuffs.

Imago AI hopes to arrive at a similar outcome via an entirely different technology route, based on data and seed selection. And, well, AI’s uniform eye informing key agriculture decisions.

“Once we are able to establish this sort of relation this is very helpful for these companies and this can further reduce their total seed production time from six to eight years to very less number of years,” says Goyal. “So this sort of correlation we are trying to establish. But for that initially we need to complete very accurate phenotypic data.”

“Once we have enough data we will establish the correlation between phenotypic data and genotypic data and what will happen after establishing this correlation we’ll be able to predict for these companies that, with your genomics data, and with the environmental conditions, and we’ll predict phenotypic data for you,” adds Gupta.

“That will be highly, highly valuable to them because this will help them in reducing their time resources in terms of this breeding and phenotyping process.”

“Maybe then they won’t really have to actually do a field trial,” suggests Goyal. “For some of the traits they don’t really need to do a field trial and then check what is going to be that particular trait if we are able to predict with a very high accuracy if this is the genomics and this is the environment, then this is going to be the phenotype.”

So — in plainer language — the technology could suggest the best seed variety for a particular place and climate, based on a finer-grained understanding of the underlying traits.

In the case of disease-resistant plant strains it could potentially even help reduce the amount of pesticides farmers use, say, if the the selected crops are naturally more resilient to disease.

While, on the seed generation front, Gupta suggests their approach could shrink the production time frame — from up to eight years to “maybe three or four.”

“That’s the amount of time-saving we are talking about,” she adds, emphasizing the really big promise of AI-enabled phenotyping is a higher amount of food production in significantly less time.

As well as measuring crop traits, they’re also using computer vision and machine learning algorithms to identify crop diseases and measure with greater precision how extensively a particular plant has been affected.

This is another key data point if your goal is to help select for phenotypic traits associated with better natural resistance to disease, with the founders noting that around 40 percent of the world’s crop load is lost (and so wasted) as a result of disease.

And, again, measuring how diseased a plant is can be a judgement call for the human eye — resulting in data of varying accuracy. So by automating disease capture using AI-based image analysis the recorded data becomes more uniformly consistent, thereby allowing for better quality benchmarking to feed into seed selection decisions, boosting the entire hybrid production cycle.

Sample image processed by Imago AI showing the proportion of a crop affected by disease

In terms of where they are now, the bootstrapping, nearly year-old startup is working off data from a number of trials with seed companies — including a recurring paying client they can name (DuPont Pioneer); and several paid trials with other seed firms they can’t (because they remain under NDA).

Trials have taken place in India and the U.S. so far, they tell TechCrunch.

“We don’t really need to pilot our tech everywhere. And these are global [seed] companies, present in 30, 40 countries,” adds Goyal, arguing their approach naturally scales. “They test our technology at a single country and then it’s very easy to implement it at other locations.”

Their imaging software does not depend on any proprietary camera hardware. Data can be captured with tablets or smartphones, or even from a camera on a drone or using satellite imagery, depending on the sought for application.

Although for measuring crop traits like length they do need some reference point to be associated with the image.

“That can be achieved by either fixing the distance of object from the camera or by placing a reference object in the image. We use both the methods, as per convenience of the user,” they note on that.

While some current phenotyping methods are very manual, there are also other image-processing applications in the market targeting the agriculture sector.

But Imago AI’s founders argue these rival software products are only partially automated — “so a lot of manual input is required,” whereas they couch their approach as fully automated, with just one initial manual step of selecting the crop to be quantified by their AI’s eye.

Another advantage they flag up versus other players is that their approach is entirely non-destructive. This means crop samples do not need to be plucked and taken away to be photographed in a lab, for example. Rather, pictures of crops can be snapped in situ in the field, with measurements and assessments still — they claim — accurately extracted by algorithms which intelligently filter out background noise.

“In the pilots that we have done with companies, they compared our results with the manual measuring results and we have achieved more than 99 percent accuracy,” is Goyal’s claim.

While, for quantifying disease spread, he points out it’s just not manually possible to make exact measurements. “In manual measurement, an expert is only able to provide a certain percentage range of disease severity for an image example; (25-40 percent) but using our software they can accurately pin point the exact percentage (e.g. 32.23 percent),” he adds.

They are also providing additional support for seed researchers — by offering a range of mathematical tools with their software to support analysis of the phenotypic data, with results that can be easily exported as an Excel file.

“Initially we also didn’t have this much knowledge about phenotyping, so we interviewed around 50 researchers from technical universities, from these seed input companies and interacted with farmers — then we understood what exactly is the pain-point and from there these use cases came up,” they add, noting that they used WhatsApp groups to gather intel from local farmers.

While seed companies are the initial target customers, they see applications for their visual approach for optimizing quality assessment in the food industry too — saying they are looking into using computer vision and hyper-spectral imaging data to do things like identify foreign material or adulteration in production line foodstuffs.

“Because in food companies a lot of food is wasted on their production lines,” explains Gupta. “So that is where we see our technology really helps — reducing that sort of wastage.”

“Basically any visual parameter which needs to be measured that can be done through our technology,” adds Goyal.

They plan to explore potential applications in the food industry over the next 12 months, while focusing on building out their trials and implementations with seed giants. Their target is to have between 40 to 50 companies using their AI system globally within a year’s time, they add.

While the business is revenue-generating now — and “fully self-enabled” as they put it — they are also looking to take in some strategic investment.

“Right now we are in touch with a few investors,” confirms Goyal. “We are looking for strategic investors who have access to agriculture industry or maybe food industry… but at present haven’t raised any amount.”

Read more: https://techcrunch.com

[sheminecrafts]

Agtech startup Imago AI is using computer vision to boost crop yields

Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and reducing food waste. As startup missions go, it’s an impressively ambitious one.

The team, which is based out of Gurgaon near New Delhi, is using computer vision and machine learning technology to fully automate the laborious task of measuring crop output and quality — speeding up what can be a very manual and time-consuming process to quantify plant traits, often involving tools like calipers and weighing scales, toward the goal of developing higher-yielding, more disease-resistant crop varieties.

Currently they say it can take seed companies between six and eight years to develop a new seed variety. So anything that increases efficiency stands to be a major boon.

And they claim their technology can reduce the time it takes to measure crop traits by up to 75 percent.

In the case of one pilot, they say a client had previously been taking two days to manually measure the grades of their crops using traditional methods like scales. “Now using this image-based AI system they’re able to do it in just 30 to 40 minutes,” says co-founder Abhishek Goyal.

Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.

“Some of the phenotypic traits they are not possible to identify manually,” says co-founder Shweta Gupta. “Maybe very tedious or for whatever all these laborious reasons. So now with this AI-enabled [process] we are now able to capture more phenotypic traits.

“So more coverage of phenotypic traits… and with this more coverage we are having more scope to select the next cycle of this seed. So this further improves the seed quality in the longer run.”

The wordy phrase they use to describe what their technology delivers is: “High throughput precision phenotyping.”

Or, put another way, they’re using AI to data-mine the quality parameters of crops.

“These quality parameters are very critical to these seed companies,” says Gupta. “Plant breeding is a very costly and very complex process… in terms of human resource and time these seed companies need to deploy.

“The research [on the kind of rice you are eating now] has been done in the previous seven to eight years. It’s a complete cycle… chain of continuous development to finally come up with a variety which is appropriate to launch in the market.”

But there’s more. The overarching vision is not only that AI will help seed companies make key decisions to select for higher-quality seed that can deliver higher-yielding crops, while also speeding up that (slow) process. Ultimately their hope is that the data generated by applying AI to automate phenotypic measurements of crops will also be able to yield highly valuable predictive insights.

Here, if they can establish a correlation between geotagged phenotypic measurements and the plants’ genotypic data (data which the seed giants they’re targeting would already hold), the AI-enabled data-capture method could also steer farmers toward the best crop variety to use in a particular location and climate condition — purely based on insights triangulated and unlocked from the data they’re capturing.

One current approach in agriculture to selecting the best crop for a particular location/environment can involve using genetic engineering. Though the technology has attracted major controversy when applied to foodstuffs.

Imago AI hopes to arrive at a similar outcome via an entirely different technology route, based on data and seed selection. And, well, AI’s uniform eye informing key agriculture decisions.

“Once we are able to establish this sort of relation this is very helpful for these companies and this can further reduce their total seed production time from six to eight years to very less number of years,” says Goyal. “So this sort of correlation we are trying to establish. But for that initially we need to complete very accurate phenotypic data.”

“Once we have enough data we will establish the correlation between phenotypic data and genotypic data and what will happen after establishing this correlation we’ll be able to predict for these companies that, with your genomics data, and with the environmental conditions, and we’ll predict phenotypic data for you,” adds Gupta.

“That will be highly, highly valuable to them because this will help them in reducing their time resources in terms of this breeding and phenotyping process.”

“Maybe then they won’t really have to actually do a field trial,” suggests Goyal. “For some of the traits they don’t really need to do a field trial and then check what is going to be that particular trait if we are able to predict with a very high accuracy if this is the genomics and this is the environment, then this is going to be the phenotype.”

So — in plainer language — the technology could suggest the best seed variety for a particular place and climate, based on a finer-grained understanding of the underlying traits.

In the case of disease-resistant plant strains it could potentially even help reduce the amount of pesticides farmers use, say, if the the selected crops are naturally more resilient to disease.

While, on the seed generation front, Gupta suggests their approach could shrink the production time frame — from up to eight years to “maybe three or four.”

“That’s the amount of time-saving we are talking about,” she adds, emphasizing the really big promise of AI-enabled phenotyping is a higher amount of food production in significantly less time.

As well as measuring crop traits, they’re also using computer vision and machine learning algorithms to identify crop diseases and measure with greater precision how extensively a particular plant has been affected.

This is another key data point if your goal is to help select for phenotypic traits associated with better natural resistance to disease, with the founders noting that around 40 percent of the world’s crop load is lost (and so wasted) as a result of disease.

And, again, measuring how diseased a plant is can be a judgement call for the human eye — resulting in data of varying accuracy. So by automating disease capture using AI-based image analysis the recorded data becomes more uniformly consistent, thereby allowing for better quality benchmarking to feed into seed selection decisions, boosting the entire hybrid production cycle.

Sample image processed by Imago AI showing the proportion of a crop affected by disease

In terms of where they are now, the bootstrapping, nearly year-old startup is working off data from a number of trials with seed companies — including a recurring paying client they can name (DuPont Pioneer); and several paid trials with other seed firms they can’t (because they remain under NDA).

Trials have taken place in India and the U.S. so far, they tell TechCrunch.

“We don’t really need to pilot our tech everywhere. And these are global [seed] companies, present in 30, 40 countries,” adds Goyal, arguing their approach naturally scales. “They test our technology at a single country and then it’s very easy to implement it at other locations.”

Their imaging software does not depend on any proprietary camera hardware. Data can be captured with tablets or smartphones, or even from a camera on a drone or using satellite imagery, depending on the sought for application.

Although for measuring crop traits like length they do need some reference point to be associated with the image.

“That can be achieved by either fixing the distance of object from the camera or by placing a reference object in the image. We use both the methods, as per convenience of the user,” they note on that.

While some current phenotyping methods are very manual, there are also other image-processing applications in the market targeting the agriculture sector.

But Imago AI’s founders argue these rival software products are only partially automated — “so a lot of manual input is required,” whereas they couch their approach as fully automated, with just one initial manual step of selecting the crop to be quantified by their AI’s eye.

Another advantage they flag up versus other players is that their approach is entirely non-destructive. This means crop samples do not need to be plucked and taken away to be photographed in a lab, for example. Rather, pictures of crops can be snapped in situ in the field, with measurements and assessments still — they claim — accurately extracted by algorithms which intelligently filter out background noise.

“In the pilots that we have done with companies, they compared our results with the manual measuring results and we have achieved more than 99 percent accuracy,” is Goyal’s claim.

While, for quantifying disease spread, he points out it’s just not manually possible to make exact measurements. “In manual measurement, an expert is only able to provide a certain percentage range of disease severity for an image example; (25-40 percent) but using our software they can accurately pin point the exact percentage (e.g. 32.23 percent),” he adds.

They are also providing additional support for seed researchers — by offering a range of mathematical tools with their software to support analysis of the phenotypic data, with results that can be easily exported as an Excel file.

“Initially we also didn’t have this much knowledge about phenotyping, so we interviewed around 50 researchers from technical universities, from these seed input companies and interacted with farmers — then we understood what exactly is the pain-point and from there these use cases came up,” they add, noting that they used WhatsApp groups to gather intel from local farmers.

While seed companies are the initial target customers, they see applications for their visual approach for optimizing quality assessment in the food industry too — saying they are looking into using computer vision and hyper-spectral imaging data to do things like identify foreign material or adulteration in production line foodstuffs.

“Because in food companies a lot of food is wasted on their production lines,” explains Gupta. “So that is where we see our technology really helps — reducing that sort of wastage.”

“Basically any visual parameter which needs to be measured that can be done through our technology,” adds Goyal.

They plan to explore potential applications in the food industry over the next 12 months, while focusing on building out their trials and implementations with seed giants. Their target is to have between 40 to 50 companies using their AI system globally within a year’s time, they add.

While the business is revenue-generating now — and “fully self-enabled” as they put it — they are also looking to take in some strategic investment.

“Right now we are in touch with a few investors,” confirms Goyal. “We are looking for strategic investors who have access to agriculture industry or maybe food industry… but at present haven’t raised any amount.”

from iraidajzsmmwtv https://ift.tt/2ramQZP via IFTTT

[theinvinciblenoob]

Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and reducing food waste. As startup missions go, it’s an impressively ambitious one.

The team, which is based out of Gurgaon near New Delhi, is using computer vision and machine learning technology to fully automate the laborious task of measuring crop output and quality — speeding up what can be a very manual and time-consuming process to quantify plant traits, often involving tools like calipers and weighing scales, toward the goal of developing higher-yielding, more disease-resistant crop varieties.

Currently they say it can take seed companies between six and eight years to develop a new seed variety. So anything that increases efficiency stands to be a major boon.

And they claim their technology can reduce the time it takes to measure crop traits by up to 75 percent.

In the case of one pilot, they say a client had previously been taking two days to manually measure the grades of their crops using traditional methods like scales. “Now using this image-based AI system they’re able to do it in just 30 to 40 minutes,” says co-founder Abhishek Goyal.

Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.

“Some of the phenotypic traits they are not possible to identify manually,” says co-founder Shweta Gupta. “Maybe very tedious or for whatever all these laborious reasons. So now with this AI-enabled [process] we are now able to capture more phenotypic traits.

“So more coverage of phenotypic traits… and with this more coverage we are having more scope to select the next cycle of this seed. So this further improves the seed quality in the longer run.”

The wordy phrase they use to describe what their technology delivers is: “High throughput precision phenotyping.”

Or, put another way, they’re using AI to data-mine the quality parameters of crops.

“These quality parameters are very critical to these seed companies,” says Gupta. “Plant breeding is a very costly and very complex process… in terms of human resource and time these seed companies need to deploy.

“The research [on the kind of rice you are eating now] has been done in the previous seven to eight years. It’s a complete cycle… chain of continuous development to finally come up with a variety which is appropriate to launch in the market.”

But there’s more. The overarching vision is not only that AI will help seed companies make key decisions to select for higher-quality seed that can deliver higher-yielding crops, while also speeding up that (slow) process. Ultimately their hope is that the data generated by applying AI to automate phenotypic measurements of crops will also be able to yield highly valuable predictive insights.

Here, if they can establish a correlation between geotagged phenotypic measurements and the plants’ genotypic data (data which the seed giants they’re targeting would already hold), the AI-enabled data-capture method could also steer farmers toward the best crop variety to use in a particular location and climate condition — purely based on insights triangulated and unlocked from the data they’re capturing.

One current approach in agriculture to selecting the best crop for a particular location/environment can involve using genetic engineering. Though the technology has attracted major controversy when applied to foodstuffs.

Imago AI hopes to arrive at a similar outcome via an entirely different technology route, based on data and seed selection. And, well, AI’s uniform eye informing key agriculture decisions.

“Once we are able to establish this sort of relation this is very helpful for these companies and this can further reduce their total seed production time from six to eight years to very less number of years,” says Goyal. “So this sort of correlation we are trying to establish. But for that initially we need to complete very accurate phenotypic data.”

“Once we have enough data we will establish the correlation between phenotypic data and genotypic data and what will happen after establishing this correlation we’ll be able to predict for these companies that, with your genomics data, and with the environmental conditions, and we’ll predict phenotypic data for you,” adds Gupta.

“That will be highly, highly valuable to them because this will help them in reducing their time resources in terms of this breeding and phenotyping process.”

“Maybe then they won’t really have to actually do a field trial,” suggests Goyal. “For some of the traits they don’t really need to do a field trial and then check what is going to be that particular trait if we are able to predict with a very high accuracy if this is the genomics and this is the environment, then this is going to be the phenotype.”

So — in plainer language — the technology could suggest the best seed variety for a particular place and climate, based on a finer-grained understanding of the underlying traits.

In the case of disease-resistant plant strains it could potentially even help reduce the amount of pesticides farmers use, say, if the the selected crops are naturally more resilient to disease.

While, on the seed generation front, Gupta suggests their approach could shrink the production time frame — from up to eight years to “maybe three or four.”

“That’s the amount of time-saving we are talking about,” she adds, emphasizing the really big promise of AI-enabled phenotyping is a higher amount of food production in significantly less time.

As well as measuring crop traits, they’re also using computer vision and machine learning algorithms to identify crop diseases and measure with greater precision how extensively a particular plant has been affected.

This is another key data point if your goal is to help select for phenotypic traits associated with better natural resistance to disease, with the founders noting that around 40 percent of the world’s crop load is lost (and so wasted) as a result of disease.

And, again, measuring how diseased a plant is can be a judgement call for the human eye — resulting in data of varying accuracy. So by automating disease capture using AI-based image analysis the recorded data becomes more uniformly consistent, thereby allowing for better quality benchmarking to feed into seed selection decisions, boosting the entire hybrid production cycle.

Sample image processed by Imago AI showing the proportion of a crop affected by disease

In terms of where they are now, the bootstrapping, nearly year-old startup is working off data from a number of trials with seed companies — including a recurring paying client they can name (DuPont Pioneer); and several paid trials with other seed firms they can’t (because they remain under NDA).

Trials have taken place in India and the U.S. so far, they tell TechCrunch.

“We don’t really need to pilot our tech everywhere. And these are global [seed] companies, present in 30, 40 countries,” adds Goyal, arguing their approach naturally scales. “They test our technology at a single country and then it’s very easy to implement it at other locations.”

Their imaging software does not depend on any proprietary camera hardware. Data can be captured with tablets or smartphones, or even from a camera on a drone or using satellite imagery, depending on the sought for application.

Although for measuring crop traits like length they do need some reference point to be associated with the image.

“That can be achieved by either fixing the distance of object from the camera or by placing a reference object in the image. We use both the methods, as per convenience of the user,” they note on that.

While some current phenotyping methods are very manual, there are also other image-processing applications in the market targeting the agriculture sector.

But Imago AI’s founders argue these rival software products are only partially automated — “so a lot of manual input is required,” whereas they couch their approach as fully automated, with just one initial manual step of selecting the crop to be quantified by their AI’s eye.

Another advantage they flag up versus other players is that their approach is entirely non-destructive. This means crop samples do not need to be plucked and taken away to be photographed in a lab, for example. Rather, pictures of crops can be snapped in situ in the field, with measurements and assessments still — they claim — accurately extracted by algorithms which intelligently filter out background noise.

“In the pilots that we have done with companies, they compared our results with the manual measuring results and we have achieved more than 99 percent accuracy,” is Goyal’s claim.

While, for quantifying disease spread, he points out it’s just not manually possible to make exact measurements. “In manual measurement, an expert is only able to provide a certain percentage range of disease severity for an image example; (25-40 percent) but using our software they can accurately pin point the exact percentage (e.g. 32.23 percent),” he adds.

They are also providing additional support for seed researchers — by offering a range of mathematical tools with their software to support analysis of the phenotypic data, with results that can be easily exported as an Excel file.

“Initially we also didn’t have this much knowledge about phenotyping, so we interviewed around 50 researchers from technical universities, from these seed input companies and interacted with farmers — then we understood what exactly is the pain-point and from there these use cases came up,” they add, noting that they used WhatsApp groups to gather intel from local farmers.

While seed companies are the initial target customers, they see applications for their visual approach for optimizing quality assessment in the food industry too — saying they are looking into using computer vision and hyper-spectral imaging data to do things like identify foreign material or adulteration in production line foodstuffs.

“Because in food companies a lot of food is wasted on their production lines,” explains Gupta. “So that is where we see our technology really helps — reducing that sort of wastage.”

“Basically any visual parameter which needs to be measured that can be done through our technology,” adds Goyal.

They plan to explore potential applications in the food industry over the next 12 months, while focusing on building out their trials and implementations with seed giants. Their target is to have between 40 to 50 companies using their AI system globally within a year’s time, they add.

While the business is revenue-generating now — and “fully self-enabled” as they put it — they are also looking to take in some strategic investment.

“Right now we are in touch with a few investors,” confirms Goyal. “We are looking for strategic investors who have access to agriculture industry or maybe food industry… but at present haven’t raised any amount.”

via TechCrunch

[ankitnandwani]

#1 product photographer in India

Our #1 product photographer in India specializes in capturing high-quality images of products for use in marketing materials, online stores, catalogs, and other promotional materials. They have a keen eye for detail and a deep understanding of how to showcase products in the most attractive way possible. Visit https://ankitnandwani.in/ for details.

[bringitonline]

Guidelines To Become the Best Fashion Photographer In Delhi, India

If you are looking to become a working fashion photographer in Delhi, there are a lot of roads that you can take; almost to a point where it becomes surreal. A number of photographers start their journey by testing with local modelling agencies. Observing that the fashion world of Delhi is a closely

knit circle.

 When you look to become a working photographer in New Delhi, there are a lot of roads that you can take, almost to a point where it becomes surreal. A number of photographers start their journey by testing with local modelling agencies.

Observing that the fashion world of Delhi is a closely knit circle just like a small town, it shouldn’t be surprising if they tell you that they work only with Delhi photographers. This may be crushing for some of us who aren’t born and brought up in the city. However, no one is going to point out the fact that most of the folks living here are not originally from here.

Given below are some of the guidelines you need to follow to break into the market as a test photographer in the city:

1.     Make a portfolio giving the impression that it belongs in Delhi.

This doesn’t really mean that everything has to have been clicked here. But it does mean that you have to work day and night to research the modelling agencies to keep in touch with whatever is being produced and utilized in a model’s portfolio. You have to study the lighting, the angles, the composition, the styling and whatnot. Study everything that you can find and figure out the ways to apply it to your own work.

This also applies to only include the models that make the cut as well. If you photograph a killer shoot in the middle of Taj Hotel in Mumbai fashion, it might not make much of an impression on a Delhi modelling agency broker. After all, they are two separate markets for a reason. Delhi has a very specific approach that you will find to be very effortless and minimal. It is ‘DilwalokiDilli’ after all.

We have a schedule of upcoming portfolio days in New Delhi City that hires a team basically based in Delhi with models from top institutions. This is quite an investment as you may utilize all the photos created in your portfolio. If interested, do write to us at bringitonline.in/fashion-photography

Also, while developing your portfolio, ensure that you develop your own style. Make it a habit to put forward your voice and point of view by showcasing a cohesive perspective throughout your book.

2.     Expect to be ‘shooed away’ a lot. Learn from your rejection.

Be prepared to be told “no” a lot when you are first approaching modelling agencies for a shoot. As artists we put our heart and soul into our work and the rejection can be very disheartening. You will need to separate yourself from your work making it more tolerable to receive the critiques. Sometimes, a modelling agency might give you a solid feedback which when applied properly can be utilized in your future work and bring you one step closer to “yes”. Always keep in mind that it only takes a single yes to get up and running. At Bring It Online Media Private Limited we have taken pride and goodwill in launching several young and talented new artists throughout the years. If we spot a talent we make it our job that he/she realizes their full potential.

3.     Be prepared for doing a lot of work for free. Differentiate between the things that are worthy and not worthy of your time.

In order to receive that first “yes” often you have to go through a lot of rejection. It is a worthy step that provides you validity and is a step in the right direction going forward. More often than not, you will have to do a lot of testing in order to grow connections with other modelling agencies and build your network of makeup artists, fashion stylists and hairstylists, experienced fashion photographer

Notice that the days of paid testing are almost over. If you are a photographer and looking to make money, it is in the models who haven’t been signed yet. There are just a few coveted photographers in Delhi who are paid for the testing. According to almost every agency, working with their models is enough of a payment. Many a times, testing a new face will appear to be dull, however, if the job is well-done it might lead you to barter for a main board model for the future reference. It is this ability to recognize and negotiate your way through it all is what matters.

At the end of it all, it’s just like a game, quite a fun one at that too. It is all about learning to play and recognizing that in the end, our small little world is trying to achieve the same thing. Select your moves thoughtfully, and the resolve will pay off exponentially.

If you are looking forward to avail best fashion photography in Delhi, Gurgaon, Noida and other Delhi NCR regions, then you have come to the right place. We at Bring It Online provide product, fashion, 360, macro, commercial, food, interior , industrial photography services all over India.   

[ankitnandwani]

The Power of Product Photography: A Guide for E-commerce Success

In today's digital age, where online shopping dominates consumer habits, the significance of high-quality product photography cannot be overstated. Whether you're a budding entrepreneur venturing into e-commerce or an established brand looking to enhance your online presence, compelling product imagery can make all the difference in attracting and retaining customers.

As a Best product photographer in india, your role is not merely to capture images but to tell a story, evoke emotions, and ultimately drive sales. In this guide, we'll delve into the essential aspects of product photography by Product Launch photographer in gurgaon and explore how you can harness its power to propel your e-commerce endeavors to new heights.

The Art of Visual Storytelling

At its core, product photography by top product photographer in india is about storytelling. Each image should convey the essence of the product, highlighting its features, benefits, and unique selling points. Consider the narrative you want to communicate to your audience and strive to capture images that align with your brand's identity and values.

Lighting: The Key to Captivating Imagery

Lighting is perhaps the most critical element in product photography and Product videographer in Delhi. Whether you opt for natural light or artificial lighting setups, mastering light control is essential for achieving stunning results. Experiment with different lighting angles, diffusers, and reflectors to create depth, texture, and mood in your images.

Composition and Framing

The composition by Product Launch photographer in gurgaon plays a pivotal role in grabbing the viewer's attention and guiding their gaze towards the focal point of the image – the product. Explore various composition techniques such as the rule of thirds, leading lines, and negative space to create visually compelling photographs that command attention.

Attention to Detail

In product photography by top product photographer in india, the devil is in the details. Pay close attention to every aspect of the image, from the product itself to the background, props, and styling elements. Ensure that the product is clean, free from blemishes, and presented in the best possible light. Small details can make a significant difference in the overall perception of your brand and its offerings.

Consistency is Key

Maintaining consistency across your product photography by the Best product photographer in india is essential for building a cohesive brand image and instilling trust in your customers. Establish style guidelines for your photography by Product videographer in Delhi, including aspects such as lighting, composition, and editing techniques, and adhere to them rigorously across all your product images.

[ankitnandwani]

Illuminating the Unseen: The Artistry of Product Launch Photography

Before the unveiling of a product, there exists a moment pregnant with potential – the calm before the storm. It is during this phase that the Product Launch photographer in gurgaon operates like a silent observer, meticulously crafting the visual landscape that will serve as the backdrop for the main event. Every detail, from the play of light and shadow to the arrangement of props, is orchestrated with precision, setting the stage for the grand reveal by the Product videographer in Delhi.

[ankitnandwani]

Illuminating the Unseen: The Artistry of Product Launch Photography

In a world inundated with products vying for attention, the role of a product launch photographer transcends mere documentation; it becomes a conduit for storytelling, a curator of anticipation, and an architect of desire. Through the lens of their camera, these unsung artisans weave narratives of innovation, aspiration, and ingenuity. Let's delve into the fascinating realm of product launch photography by #1 product photographer in india and uncover the magic behind the scenes.

The Prelude: Setting the Stage

Before the unveiling of a product, there exists a moment pregnant with potential – the calm before the storm. It is during this phase that the Product Launch photographer in gurgaon operates like a silent observer, meticulously crafting the visual landscape that will serve as the backdrop for the main event. Every detail, from the play of light and shadow to the arrangement of props, is orchestrated with precision, setting the stage for the grand reveal by the Product videographer in Delhi.

The Unveiling: Capturing the Moment of Revelation

As the curtain rises and the product emerges from obscurity, the product launch photographer and Product videographer in Delhi springs into action, capturing the raw emotion and unbridled excitement of the moment. With each click of the shutter, top product photographer in india freeze time, immortalizing the expressions of awe, wonder, and curiosity etched upon the faces of onlookers.

The Exploration: Navigating the Landscape of Possibility

Beyond the initial spectacle lies a realm ripe for exploration – a landscape of possibility waiting to be traversed. Here, the Product Launch photographer in gurgaon embarks on a journey of discovery, delving deep into the intricacies of the product, uncovering its hidden nuances, and revealing its untapped potential. With a keen eye for detail and an insatiable thirst for creativity, the Best product photographer in india transform ordinary objects into symbols of innovation, breathing life into the mundane and infusing it with meaning.

The Transformation: From Image to Icon

As the dust settles and the echoes of applause fade into silence, the true test of the #1 product photographer in india skill begins – the transformation of images into icons. Through the alchemy of editing and post-processing, the Best product photographer in india imbue their creations with a sense of timelessness, elevating them from mere photographs to works of art. Each image becomes a window into a world of possibility of top product photographer in india, a testament to the power of imagination, and a catalyst for change.

[ankitnandwani]

Unlocking the Artistry: Exploring the World of Product Photography

In a digital age dominated by visual content, the role of product photographers has evolved into a pivotal one. These skilled professionals possess the ability to transform ordinary objects into captivating works of art, enticing consumers and driving sales. From e-commerce giants to small businesses, the demand for high-quality product imagery is insatiable.

Technical Mastery

At the core of product photography lies technical proficiency. Adeptness in lighting, composition, and camera settings is paramount. Product Launch photographer in Gurgaon meticulously arrange lighting setups to accentuate textures, colors, and contours, ensuring each detail is showcased flawlessly. They employ a myriad of tools, from diffusers to reflectors, to sculpt the perfect illumination. Mastery of camera techniques such as depth of field and shutter speed allows them to capture crisp, compelling images that resonate with viewers.

Understanding the Product

Beyond technical prowess, successful top product photographer in india possess a deep understanding of the items they photograph. Whether it's clothing, electronics, or food, each product has unique characteristics that must be highlighted effectively. The Best product photographer in india must grasp the essence of the product, its intended audience, and the message it seeks to convey. This understanding informs their creative decisions, guiding them in crafting images that resonate with consumers on a visceral level.

Creativity and Innovation

Product photography by Product Launch photographer in Gurgaon is as much about creativity as it is about technical skill. Top product photographer in india constantly seek innovative ways to showcase products, experimenting with angles, props, and styling techniques. They infuse their images with personality and emotion, transcending the mundane to evoke desire and intrigue. Whether it's through whimsical compositions or avant-garde concepts, creativity of the Best product photographer in india is the driving force behind memorable product imagery.

[ankitnandwani]

Let a professional take quality photographs of your product. Explore Our Services Today! Welcome to Ankitnandwani. You will get the best Product photographer in Noida for your product photography here. Visit https://ankitnandwani.in/ for details.

[ankitnandwani]

Our Amazon products videographer in Noida specializes in creating high-quality video content that showcases the features and benefits of products being sold on Amazon. They create engaging video content that highlights the unique selling points of a product, and helps to increase its visibility and appeal to potential customers. Visit https://ankitnandwani.in/ for details.

[ankitnandwani]

Product videographer in Delhi

Our Product videographer in Delhi specializes in creating high-quality video content that showcases a product in the best possible light. They work closely with product manufacturers, designers, and marketers to understand the features, benefits, and target audience of the product they are promoting. Visit https://ankitnandwani.in/ for details.

[ankitnandwani]

Capturing Moments: The Essence of Videographer Services

The significance of videographer services transcends mere documentation; it's about encapsulating emotions, preserving fleeting moments, and creating timeless masterpieces. Let's delve into the world of videography and explore why it's not just a service but an art form in its own right.

Crafting Visual Narratives

At the heart of videography lies the art of storytelling. A skilled Amazon products videographer in delhi possesses the ability to translate abstract concepts and emotions into tangible visual narratives. Through the interplay of imagery, sound, and motion, they capture the essence of an event or a message, allowing viewers to immerse themselves in the story being told. Whether it's the joyous celebration of a wedding, the adrenaline-fueled excitement of a sports event, or the inspirational journey of a brand, Amazon products videographer in noida have the expertise to craft narratives that resonate with audiences on a profound level.

Technical Expertise and Creativity

Behind every breathtaking video lies a meticulous blend of technical expertise and creative flair. From selecting the right equipment and framing shots to mastering lighting techniques and post-production editing, videographers are adept at harnessing the tools of their trade to produce visually stunning content. Moreover, creativity serves as the driving force that elevates a video from ordinary to extraordinary. Whether it's experimenting with unconventional angles, incorporating cinematic effects, or exploring innovative storytelling techniques, Amazon products videographer in noida constantly push the boundaries of creativity to deliver captivating visual experiences.

Preserving Memories

One of the most invaluable aspects of Amazon products videographer in delhi services is their ability to preserve cherished memories for posterity. Whether it's a couple exchanging vows on their wedding day, a family reuniting after years apart, or a company commemorating a milestone achievement, videographers have the privilege of immortalizing these moments in time. Through their lens, they capture not just the events themselves but the raw emotions, heartfelt interactions, and intimate details that make each occasion unique.

[ankitnandwani]

Elevate Your Brand with Professional Product Videography and Photography Services

Product videographer in Delhi has the expertise to highlight the unique features and intricate details of your products. Whether it’s the texture of a fabric, the functionality of a gadget, or the craftsmanship of handmade items, top product photographer in india can capture these elements in a way that static images alone cannot. This comprehensive representation helps customers make informed purchasing decisions.