Teeth Whitening Treatment For Brides to Be
A bride-to-be has a million things to do before the wedding. Nearly every bride has a to-do list prepared that is a mile long. If one just had a fitting and realized that their smile is not camera ready, do not worry!
Since the wedding is one of the most photographed events of an individual’s life, having a beautiful and bright smile is an excellent way to ensure that the pictures will turn out amazing. With Teeth Whitening Treatment in Gurgaon offered at AK Global Dent, every bride can achieve the smile of their dreams.
What is Teeth Whitening?
Teeth whitening is one of the most popular cosmetic dental treatments, providing a quick, non-invasive, and cost-effective option to improve one's smile. It is a process of removing stains from the tooth’s surface and helps in restoring the natural color of the teeth. Teeth whitening is one of the most common and widely adopted procedures by a dentist. With advanced dental technology, the experts at AK Global Dent offer the latest whitening treatment procedures that give long-lasting and reliable results.
What is the Need for Teeth Whitening Procedure?
The enamel that reflects the natural color of the teeth can strain and make the teeth yellow. There are several causes of tooth discoloration. Though these can be prevented, yet there are some which are not in control. The causes of discoloration are as below:
Consuming wine, tea, coffee, and cola frequently
Smoking cigarettes and chewing tobacco products
Higher intake of fluoride during childhood
Aging can also contribute to the staining of teeth as with age, the enamel gets thin and exposes the dentin. The dentin comes in contact with certain food, contributing to teeth staining.
Some medical treatments can also contribute to the staining of teeth.
Having yellow stains on the teeth that are not going away with home remedies? Do not worry. Get the best teeth whitening treatment at AK Global Dent, the Best Dental Clinic in Gurgaon. Teeth whitening clears the stains effectively and makes the teeth appear whiter on the wedding day.
How Does Teeth Whitening Work?
The dentist will take photographs of the teeth that will help him know the procedure's progress. This is also used to examine the tooth and find out the stains. Once the examination is completed, they commence by cleaning the teeth. The cleaning procedure involves removing the film of the enamel, which is coated due to any food or other substances consumed. After proper cleaning, the procedure of whitening begins.
The entire procedure can take around 30-60 minutes or even more (depending on the severity of the stains on the teeth). After covering the gums, a whitening agent is applied to the teeth. This can be done by applying heat to whiten the teeth (light or laser). The procedure helps clear the stains and makes the teeth whiter by 2-3 shades. But, one must understand that whitening results could vary depending on patients' teeth' severity.
How Soon Before the Wedding Should a Bride Get Teeth Whitening Treatment?
This is one of the most common questions. Do not get teeth whitening too early. This is because, over a few weeks, the teeth can become stained. Be careful about the drinking and eating habits. A teeth whitening procedure is only good when one cares for their teeth. If one drinks a lot of coffee or tea or has a lot of berries, the teeth will stain quickly. And if one is a smoker, their teeth will not stay perfectly white for too long.
Tip for the Day: Get the teeth whitened at a dental clinic about a month before the wedding. While brushing the teeth, use a tooth whitening toothpaste and use a whitening mouthwash. Also, if one smokes or drinks a lot of caffeine or has a lot of berries, brush the teeth afterward. The sooner one brushes their teeth after smoking or eating, the less likely one will have stained teeth.
Frequently Asked Questions
1. Is there any Risk Associated with Teeth Whitening?
Although no hazards are linked with tooth whitening, some people may suffer sensitivity or moderate gum irritation for a few days. Pregnant women should avoid teeth whitening because it is a cosmetic procedure. They can only get it done after the delivery.
2. How Often Should One Get Their Teeth Whitened?
A professional teeth whitening treatment lasts around a year. Thus, teeth whitening after one year is considered healthy for general oral health and a long-lasting smile. Make an appointment with the experts at AK Global Dent immediately if one wants professional teeth whitening treatment.
3. When Can One Brush Their Teeth After the Whitening Process?
Dentists advise against brushing the teeth immediately after a teeth whitening treatment. Individuals must wait a few hours following treatment before brushing their teeth for the first time.
4. Is Teeth Whitening Permanent?
There are different tooth whitening treatments available. The duration of each treatment ranges from a few months to three years. Individuals who consume a lot of tea, coffee, and tobacco or who smoke will not be able to notice the results for a longer period of time.
5. Does Coconut Oil Help Whiten Teeth?
There is no scientific evidence that coconut oil can be used to whiten teeth. Dental specialists advise people to avoid experimenting with their teeth since it can have negative consequences.
6. What is the Cost of Teeth Whitening Treatment?
The Teeth Whitening Cost in Gurgaon differs on factors such as the oral health situation of an individual and the type of procedure selected. One can consult the experts at AK Global Dent Clinic to know the exact cost.
7. Which Precautions Need to Be Followed After the Treatment?
One needs to completely avoid beverages, including tea and coffee, because they significantly affect the teeth. If one cannot avoid them entirely, it is recommended that they sip them using straws to avoid contact with the teeth.
Interested in getting Orthodontist in Gurgaon? Consult the dental experts at AK Global Dent right away. The experts can perform miracle whitening on the teeth for the big day and will make the wedding a memorable event to smile about!
For more information, pay a visit to AK Global Dent Clinic today.
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Why Should you Choose Global Platter
When you are looking for the best photographer in town, any search engine can give you thousands of options. But why should you always choose Global Platter from the list as your top food and product photographer ? Here is your answer!
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With competitive rates and years of experience, Global Platter becomes the easiest and smartest choice for your photography needs. We have exceeded expectations consistently with our past clients and make long term connections thaats still stand strong, Our expertise make us stand apart from all competition and you can see the incredible feedback on our website and instagram comments. When the audience approves, what are you waitting for? Book your appointment today!
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If you plan on increasing your clientele and revenue this festive season, expert product photography is a must! . To make window shopping Indians into real customers is not an easy task but you can do it by getting the most tempting pictures. The top product photographer in Delhi, Gurgaon, and Noida - Global Platter is here! So utilize our expertise to make your products stand out.
Global Platter has years of experience in the field of food, beverage and product photography. From melting ice creams, to light and dry spices, we have created aesthetic snapshots with every kind of product. Photoshoots are incomplete without an incredible set up, a narrative around the pictures and the experience of the photographer. Every brand has their own image and we cater to your needs personally. Each video and picture reflects what your product truly stands for.
Just picking up a camera does not get you the perfect snapshot. you need to understand what the picture says, create complementing color palettes and bring that vision to reality. The task may not be simple, but choosing to work with the best in the business is undoubtedly easy. To increase your revenue and bring you the best results, Global Platter researches the right target audience for you. If you are still not convinced, check their instagram and website, with a beautiful carousel of tempting pictures to make sure they are the one for you and your brand.
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Best Product Photography in Delhi, NCR
When it comes to boosting your sales and engaging customers, visual marketing is the best way to go! Enticing photographs and videos leave a lingering temptation in the mind of the viewer which is your best bet to convert your audience into real sales. So, if you plan on expanding your business and growing organically it is time to contact the best product photographer in Delhi, Gurgaon, and Noida.
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Tips for the Best Maternity Photoshoot in India
Being pregnant is a wonderful experience and you will want to capture that phase of your life with photos. That is why a photoshoot for pregnancy is a brilliant idea. You will have the photos with you when nostalgia strikes you and you will be able to recapture those beautiful feelings and emotions.
To ensure that your maternity photoshoot in India goes off without a hitch, here are a few things to note.
Wear Comfortable Clothes
Maternity photoshoot in Gurgaon can take anywhere from an hour to a couple of hours. You can have the photoshoot indoors or outdoors depending on your choice. So, make sure you wear comfortable clothes. Of course, you will be wearing form-fitting clothes to show off your baby bump but just make sure that your attire is comfortable.
Visit the Loo
Before you begin the maternity photoshoot in Delhi, make sure you visit the bathroom. That way, you will not feel the urge and will be comfortable during the photoshoot.
Have Water and Food On Hand
During your maternity photoshoot in Gurgaon and the neighboring cities, you may get hungry or thirsty. Always have healthy snacks and water with you so that you can satiate your hunger and thirst before recommencing the shoot.
Don’t put an act during photoshoot for pregnancy. Instead, be yourself and let your personality shine through. While you may end up posing for the photographs but being who you are will make the photos stunning, especially if you hire an expert maternity photographer in Delhi, Noida, or Gurgaon.
These are some of the tips that you can follow to have a fun and wonderful photoshoot for pregnancy.
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Online Process To Apply For Business Registration in Haryana
Are you intrested in Company Registration in Haryana, and then this is the exact location for you. There are so many classifications of business entity, which you can form in Haryana, like Limited Liability Partnership Company, Partnership Company, Producer Company, Limited Company, Nidhi Company, Sole Proprietor, Section 8 Company, NGO, Pvt Ltd Firm, OPC, etc. Haryana is one of the top developing State of Haryana and there are so many different clients in Haryana who has enrolled Company via FinanceBazaar. Currently Finance Bazaar is the one of the Best Business establishment service provider in Haryana, you can as well visit FBAZAAR customer feedback on Google. As you know Haryana is one of the quickly increasing state in India where you can do your business without trouble. Firm incorporation in Haryana is not an easy step for any one, because there are a lots of processes that you have to follow and there are various legal paper burden that you must to fulfill for full Business incorporation. But you have not need to worry concerning anything, because FinanceBazaar.com is offering online Company establishment service in Haryana which you not have to do anything. you have to serve only documents file and Government Fees and Our Chartered Accountant will take care of all. Basically Firm enrollment formalities takes 7 to 10 working days that every thing rest on your coordination.
On this website you will get Each and Every explanation regarding Company Registration Online in Haryana
What FinanceBazaar.com will provide
PAN and TAN
MOA and AOA
Digital Signature For Each Directors
Certificate of Business formation
Share Certificates
GST Number (If need)
As listed below Information recommended for Business formation in Haryana
Firm Name: - The Firm name that you want to incorporate will be decided by your side, but there are so many circumstances for deciding the Company name. You can't use generic words and those words that are already registered or trademarked can not be acceptable. financebazaar.com Expert Chartered Accountant will instruct you even in choosing Business name.
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Number of Directors: - At Least two directors compulsory for Private Limited Firm and single director for One Person Company. In PVT LTD Company you can expand the number of directors till 15.
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Need Documents for Business incorporation in Haryana
These are some following documents file that you must have to submit for Firm incorporation in Haryana:
Aadhar Card/Voter Card/Driving License/Passport of Every Directors
Pan Card of Each and Every Directors
One utility bill (Electricity, Gas, Phone, Water Bill of any name) for office address proof
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Fees for Business incorporation in Haryana
Company Registration Fees in Haryana is approximatively Rs 6999/- (Six Thousand Nine Hundred Ninety Nine Rupees Only/-), but it can change as per your demand. If we discuss about fee structure, then by the beginning of 1000 rupees send to the Government for Business name apply and you have two chances for your Firm name approval, if your Company name is separate, then it can be confirmed in first try. If two times your Business name has rejected, then you must need to pay 1000 rupees again to the Gov for resubmission different name request. After Firm name confirmation you must to pay Government registration costs that can be different as per your Authorized capital or state rules. Each states have particular rules as well as Haryana concerning registration charges for Business enrollment. If you need two directors in your Business, then roughly 500 Rupees Every Single director Fees for Digital Signature Certificate (DSC), if directors will increase, then the Digital Signature Certificate Token Fees will also increase appropriately. PAN & TAN Fees also collect by Gov that will not be differ. And finally our registration cost includes for doing and preparation all documents, paper work and further activities.
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Public Limited Company Compliances
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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
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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.”
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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
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Teeth Whitening Treatment For Brides to Be
A bride-to-be has a million things to do before the wedding. Nearly every bride has a to-do list prepared that is a mile long. If one just had a fitting and realized that their smile is not camera ready, do not worry!
Since the wedding is one of the most photographed events of an individual’s life, having a beautiful and bright smile is an excellent way to ensure that the pictures will turn out amazing. With Teeth Whitening Treatment in Gurgaon offered at AK Global Dent, every bride can achieve the smile of their dreams.
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Teeth whitening is one of the most popular cosmetic dental treatments, providing a quick, non-invasive, and cost-effective option to improve one's smile. It is a process of removing stains from the tooth’s surface and helps in restoring the natural color of the teeth. Teeth whitening is one of the most common and widely adopted procedures by a dentist. With advanced dental technology, the experts at AK Global Dent offer the latest whitening treatment procedures that give long-lasting and reliable results.
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The enamel that reflects the natural color of the teeth can strain and make the teeth yellow. There are several causes of tooth discoloration. Though these can be prevented, yet there are some which are not in control. The causes of discoloration are as below:
Consuming wine, tea, coffee, and cola frequently
Smoking cigarettes and chewing tobacco products
Higher intake of fluoride during childhood
Aging can also contribute to the staining of teeth as with age, the enamel gets thin and exposes the dentin. The dentin comes in contact with certain food, contributing to teeth staining.
Some medical treatments can also contribute to the staining of teeth.
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The dentist will take photographs of the teeth that will help him know the procedure's progress. This is also used to examine the tooth and find out the stains. Once the examination is completed, they commence by cleaning the teeth. The cleaning procedure involves removing the film of the enamel, which is coated due to any food or other substances consumed. After proper cleaning, the procedure of whitening begins.
The entire procedure can take around 30-60 minutes or even more (depending on the severity of the stains on the teeth). After covering the gums, a whitening agent is applied to the teeth. This can be done by applying heat to whiten the teeth (light or laser). The procedure helps clear the stains and makes the teeth whiter by 2-3 shades. But, one must understand that whitening results could vary depending on patients' teeth' severity.
How Soon Before the Wedding Should a Bride Get Teeth Whitening Treatment?
This is one of the most common questions. Do not get teeth whitening too early. This is because, over a few weeks, the teeth can become stained. Be careful about the drinking and eating habits. A teeth whitening procedure is only good when one cares for their teeth. If one drinks a lot of coffee or tea or has a lot of berries, the teeth will stain quickly. And if one is a smoker, their teeth will not stay perfectly white for too long.
Tip for the Day: Get the teeth whitened at a dental clinic about a month before the wedding. While brushing the teeth, use a tooth whitening toothpaste and use a whitening mouthwash. Also, if one smokes or drinks a lot of caffeine or has a lot of berries, brush the teeth afterward. The sooner one brushes their teeth after smoking or eating, the less likely one will have stained teeth.
Frequently Asked Questions
1. Is there any Risk Associated with Teeth Whitening?
Although no hazards are linked with tooth whitening, some people may suffer sensitivity or moderate gum irritation for a few days. Pregnant women should avoid teeth whitening because it is a cosmetic procedure. They can only get it done after the delivery.
2. How Often Should One Get Their Teeth Whitened?
A professional teeth whitening treatment lasts around a year. Thus, teeth whitening after one year is considered healthy for general oral health and a long-lasting smile. Make an appointment with the experts at AK Global Dent immediately if one wants professional teeth whitening treatment.
3. When Can One Brush Their Teeth After the Whitening Process?
Dentists advise against brushing the teeth immediately after a teeth whitening treatment. Individuals must wait a few hours following treatment before brushing their teeth for the first time.
4. Is Teeth Whitening Permanent?
There are different tooth whitening treatments available. The duration of each treatment ranges from a few months to three years. Individuals who consume a lot of tea, coffee, and tobacco or who smoke will not be able to notice the results for a longer period of time.
5. Does Coconut Oil Help Whiten Teeth?
There is no scientific evidence that coconut oil can be used to whiten teeth. Dental specialists advise people to avoid experimenting with their teeth since it can have negative consequences.
6. What is the Cost of Teeth Whitening Treatment?
The Teeth Whitening Cost in Gurgaon differs on factors such as the oral health situation of an individual and the type of procedure selected. One can consult the experts at AK Global Dent Clinic to know the exact cost.
7. Which Precautions Need to Be Followed After the Treatment?
One needs to completely avoid beverages, including tea and coffee, because they significantly affect the teeth. If one cannot avoid them entirely, it is recommended that they sip them using straws to avoid contact with the teeth.
Interested in getting Orthodontist in Gurgaon? Consult the dental experts at AK Global Dent right away. The experts can perform miracle whitening on the teeth for the big day and will make the wedding a memorable event to smile about!
For more information, pay a visit to AK Global Dent Clinic today.
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Best Food and Product Photographer in India - Global Platter
Best Food Photographer in India - Food Photographer
The Romans once said “We eat first with our eyes” and even today we continue to believe that! So when it comes to food photography you must only hire the best food photographer in India to take tempting and drool-worthy snapshots of your products. It could be refreshing mojitos or the cheese pull of a pizza, you can trust Global Platter - the best food photographer in India to style it into gorgeous images that expand your client list and grow your brand.
Global Platter is a Delhi-based expert in professional food and product photography that serves a clientele all over the world. Thanks to her excellent sense of style and inventiveness, they have created a portfolio of over 200 captivating pictures that you can scroll through on their website. They use well-placed lighting and expert styling, to play with texture and shadow, while still showing your products in a fresh and appetizing way.
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When it comes to boosting your sales and engaging customers, visual marketing is the best way to go! Enticing photographs and videos leave a lingering temptation in the mind of the viewer which is your best bet to convert your audience into real sales. So, if you plan on expanding your business and growing organically it is time to contact the best product photographer in Delhi, Gurgaon, and Noida – The Global Platter
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Product photography is not just clicking pictures with a fancy camera. It includes finding the right concept, creating appealing color palettes, a frame with the complementary props placed just in the right position and so much more. So, the task might not be easy but the choice to hire the best in the game definitely is. Global Platter shows expertise and professionalism in their field and markets your products to the target audience to provide consistent results. You can see the proof for yourself on their Instagram page which has a following of over 48K and the gorgeous portfolio on their website!
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