#Agricultural Software Development

[finnid]

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[glasierinc]

How to Build an Online Marketplace? 8 Steps from an Idea to Launch

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[technology-trends-by-mellisa]

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[erpbangalore]

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[thetatechnolabs]

Improving Crop Health and Resource Management with Agriculture Software Development Services

[easternindiatechnosoft]

Revolutionizing Agriculture with AI: The Role of Agriculture Software Development Company in Kolkata

How AI used in Agriculture

In recent years, the agriculture sector has seen a significant transformation with the integration of Artificial Intelligence (AI) technology. From automated machinery to precision farming techniques, AI has revolutionized the way farmers approach their work. In Kolkata, agriculture software development companies are at the forefront of this innovation, driving the sector towards a more sustainable and efficient future.

Familiar with Agriculture Software Development Company in Kolkata

One such company is ABC Technologies, a leading AI development company in Kolkata. With their expertise in AI algorithms and machine learning, they have developed cutting-edge solutions for the agriculture sector. Their software tools enable farmers to optimize crop yields, manage resources effectively, and make data-driven decisions that enhance productivity and profitability.

Through the use of AI, farmers can now implement precision farming techniques that tailor cultivation practices to specific crops and soil conditions. This not only reduces waste and improves efficiency but also minimizes the environmental impact of farming. By leveraging predictive analytics and drone technology, farmers can now monitor crop health, detect diseases early, and optimize irrigation practices, leading to healthier crops and higher yields.

Furthermore, AI-powered machinery such as autonomous tractors and drones have revolutionized the way farmers carry out labor-intensive tasks. These machines can perform tasks such as planting, harvesting, and pesticide application with greater precision and efficiency, saving farmers time and labor costs.

Overall, the role of agriculture software development companies in Kolkata in driving AI innovation in the agriculture sector cannot be overstated. By creating customized solutions that cater to the unique needs of farmers in the region, these companies are helping to create a more sustainable and productive future for agriculture in India.

In conclusion, AI technology is transforming the agriculture sector in Kolkata, and agriculture software development companies are playing a crucial role in driving this transformation. With their expertise in AI development and software solutions, these companies are empowering farmers to make data-driven decisions, optimize resources, and increase productivity. As the sector continues to evolve, the possibilities for AI in agriculture are endless, and Kolkata is at the forefront of this exciting revolution.

[jcmarchi]

Many firms prefer ready-made AI software with a few tweaks - Technology Org

New Post has been published on https://thedigitalinsider.com/many-firms-prefer-ready-made-ai-software-with-a-few-tweaks-technology-org/

Many firms prefer ready-made AI software with a few tweaks - Technology Org

Artificial intelligence has changed nearly every industry, from manufacturing and retail to construction and agriculture. And as AI becomes even more ubiquitous, firms often opt for off-the-shelf technology that can be modified to meet their needs.

Chris Forman, the Peter and Stephanie Nolan Professor in the Dyson School of Applied Economics and Management in the Cornell SC Johnson College of Business, was part of a research team that examined firms’ decisions to adopt AI technology and how that adoption was sourced: by purchasing ready-made software; by developing their own; or with a hybrid strategy, which the researchers say may reflect “complementarity” among sourcing approaches.

In an analysis of more than 3,000 European firms, they found that many—particularly in science, retail trade, finance, real estate, and manufacturing—are increasingly opting for ready-made technology tailored to the firm’s specific needs. While AI may seem to be threatening the human workforce, these findings indicate that workers with AI-related skills will still be needed.

“In the vast majority of industries, firms are doing both readymade and in-house development, and I think it’s an interesting question for future work to understand why that’s the case,” said Forman, co-author of “Make or Buy Your Artificial Intelligence? Complementarities in Technology Sourcing,” which published March 5 in the Journal of Economics and Management Strategy.

“Ready-made software is important,” he said, “but for the vast majority of firms, it does not appear to be a substitute for in-house software, which suggests that it’s not, at least in the short run, going to eliminate the need for AI-related skills.”

Charles Hoffreumon, a doctoral student at the Solvay Brussels School of Economics and Management, is the corresponding author. Nicolas van Zeebroeck, a professor of digital economics and strategy at the Solvay Brussels School, is the other co-author.

For their study, the researchers examined data from a survey conducted in 2020 by the Directorate-General of Communications Networks, Content and Technology from the European Commission (EC), which assessed AI adoption across the 27 countries of the European Union. The team used data from 3,143 firms across Europe in the study.

Business software is hard to implement, and historically as new technologies spread firms have relied on ready-made software. “This aspect of trying to understand the extent to which ready-made software could potentially substitute for the need for skills was interesting.” Forman said.

The study’s data comprised firms in 10 industry sectors, with the largest share coming from manufacturing (19%), trade and retail (18%), and construction (12%). Industries with the smallest share of respondents included agriculture (4%) and utilities (3%).

Firms most commonly use AI for the following purposes: fraud or risk detection, process or equipment optimization, and process automation in warehouses or robotics.

Among respondents who had adopted at least one AI application, more than 58% reported using ready-made software; nearly 38% hired an external consultant; 24% used modified commercial software; 20% used in-house software; and 20% modified open-source technology for their firm’s needs. Some firms deployed the technology in multiple ways.

Among the findings: The financial and scientific sectors – and to a lesser extent IT – preferred developing and customizing their own software while agriculture, construction and human health preferred ready-made solutions.

Forman said that in the past, as new technology spreads, the demand for different types of skills emerges. “Historically, the net effect has tended to be that, overall, labor demand goes up,” he said, “but it remains to be seen what happens in this case.”

As often happens with new technology, Forman said, the diffusion of AI technology to early adopters has resulted in users’ best practices getting incorporated into ready-made software, which makes these solutions even better. This was the case, he said, with enterprise resource planning – automation software that helps to run an entire business.

“When you look at prior digital technologies, there’s often a process of complementary innovation, or co-invention, where you figure out how to use this digital technology most effectively for your firm,” Forman said. “That usually takes place over time, through experimentation and figuring out what works and doesn’t.”

The authors wrote that this research “has taken the first steps toward highlighting the importance of sourcing strategies to understanding the diffusion of AI.”

Source: Cornell University

You can offer your link to a page which is relevant to the topic of this post.

[inventcolabsoftware]

Agriculture drone software development  features.

Agriculture drone software encompasses a range of features designed to enhance the use of drones in farming and precision agriculture.

Here are some key features commonly found in agriculture drone software:

Remote Drone Control: Allows users to control drone flight, including takeoff, landing, and navigation through a user-friendly interface. 

Real-time Data Streaming: Provides live streaming of video and sensor data from drones to ground control stations, enabling real-time monitoring. 

GPS Integration: Built-in GPS for precise mapping, tracks drone location, and ensures accurate data collection. 

Autonomous Flight Paths: Enables users to plan and execute automated flight paths for repeatable surveys, covering large agricultural areas with minimal manual intervention. 

Weather Integration: Integrate real-time weather data to make informed decisions about planting, irrigation, and pesticide use based on current conditions. 

Mobile Compatibility: Offer a mobile app or responsive design for access on smartphones and tablets, allowing for on-the-spot decision making. 

Security and Privacy: Implement strong data encryption and user authentication to protect sensitive agricultural data.

Training and Support: Provides user training resources and customer support to help drone operators and farmers get the most out of the software.

These features enable farmers to make data-driven decisions, optimize resource allocation, and improve crop yields through precision farming practices. Agriculture drone software plays a crucial role in modern precision agriculture, helping farmers make data-driven decisions, optimize resource usage, and improve crop yields.

[finnid]

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Explore a comprehensive Platform at Finnid designed to empower farmer-producer organizations (FPO).From seamless FPO registration and compliance services to cutting-edge ERP solution for the agriculture sector.

[dev-technosys]

Agriculture Software Development Company in UAE

We are your trusted partner for custom agriculture software development in the UAE. Our expert team specializes in tailoring innovative solutions to meet your agricultural needs. With cutting-edge technology and a deep understanding of the industry, we deliver efficient, user-friendly software to optimize your farm operations. Partner with us for seamless, customized agricultural software solutions.

[glasierinc]

How AutoML is transforming AI: The Concept of ‘AI Creating AI’

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[easternindiatechnosoft-blog]

https://eitpl.in/agriculture

Eitpl is a leading Agriculture software Development services, company in Kolkata provides Agricultural Statistics Database Management, Application Development, Database Management, Apps Development company in kolkata.

[are-we-art-yet]

Is AWAY using it's own program or is this just a voluntary list of guidelines for people using programs like DALL-E? How does AWAY address the environmental concerns of how the companies making those AI programs conduct themselves (energy consumption, exploiting impoverished areas for cheap electricity, destruction of the environment to rapidly build and get the components for data centers etc.)? Are members of AWAY encouraged to contact their gov representatives about IP theft by AI apps?

What is AWAY and how does it work?

AWAY does not "use its own program" in the software sense—rather, we're a diverse collective of ~1000 members that each have their own varying workflows and approaches to art. While some members do use AI as one tool among many, most of the people in the server are actually traditional artists who don't use AI at all, yet are still interested in ethical approaches to new technologies.

Our code of ethics is a set of voluntary guidelines that members agree to follow upon joining. These emphasize ethical AI approaches, (preferably open-source models that can run locally), respecting artists who oppose AI by not training styles on their art, and refusing to use AI to undercut other artists or work for corporations that similarly exploit creative labor.

Environmental Impact in Context

It's important to place environmental concerns about AI in the context of our broader extractive, industrialized society, where there are virtually no "clean" solutions:

The water usage figures for AI data centers (200-740 million liters annually) represent roughly 0.00013% of total U.S. water usage. This is a small fraction compared to industrial agriculture or manufacturing—for example, golf course irrigation alone in the U.S. consumes approximately 2.08 billion gallons of water per day, or about 7.87 trillion liters annually. This makes AI's water usage about 0.01% of just golf course irrigation.

Looking into individual usage, the average American consumes about 26.8 kg of beef annually, which takes around 1,608 megajoules (MJ) of energy to produce. Making 10 ChatGPT queries daily for an entire year (3,650 queries) consumes just 38.1 MJ—about 42 times less energy than eating beef. In fact, a single quarter-pound beef patty takes 651 times more energy to produce than a single AI query.

Overall, power usage specific to AI represents just 4% of total data center power consumption, which itself is a small fraction of global energy usage. Current annual energy usage for data centers is roughly 9-15 TWh globally—comparable to producing a relatively small number of vehicles.

The consumer environmentalism narrative around technology often ignores how imperial exploitation pushes environmental costs onto the Global South. The rare earth minerals needed for computing hardware, the cheap labor for manufacturing, and the toxic waste from electronics disposal disproportionately burden developing nations, while the benefits flow largely to wealthy countries.

While this pattern isn't unique to AI, it is fundamental to our global economic structure. The focus on individual consumer choices (like whether or not one should use AI, for art or otherwise,) distracts from the much larger systemic issues of imperialism, extractive capitalism, and global inequality that drive environmental degradation at a massive scale.

They are not going to stop building the data centers, and they weren't going to even if AI never got invented.

Creative Tools and Environmental Impact

In actuality, all creative practices have some sort of environmental impact in an industrialized society:

Digital art software (such as Photoshop, Blender, etc) generally uses 60-300 watts per hour depending on your computer's specifications. This is typically more energy than dozens, if not hundreds, of AI image generations (maybe even thousands if you are using a particularly low-quality one).

Traditional art supplies rely on similar if not worse scales of resource extraction, chemical processing, and global supply chains, all of which come with their own environmental impact.

Paint production requires roughly thirteen gallons of water to manufacture one gallon of paint.

Many oil paints contain toxic heavy metals and solvents, which have the potential to contaminate ground water.

Synthetic brushes are made from petroleum-based plastics that take centuries to decompose.

That being said, the point of this section isn't to deflect criticism of AI by criticizing other art forms. Rather, it's important to recognize that we live in a society where virtually all artistic avenues have environmental costs. Focusing exclusively on the newest technologies while ignoring the environmental costs of pre-existing tools and practices doesn't help to solve any of the issues with our current or future waste.

The largest environmental problems come not from individual creative choices, but rather from industrial-scale systems, such as:

Industrial manufacturing (responsible for roughly 22% of global emissions)

Industrial agriculture (responsible for roughly 24% of global emissions)

Transportation and logistics networks (responsible for roughly 14% of global emissions)

Making changes on an individual scale, while meaningful on a personal level, can't address systemic issues without broader policy changes and overall restructuring of global economic systems.

Intellectual Property Considerations

AWAY doesn't encourage members to contact government representatives about "IP theft" for multiple reasons:

We acknowledge that copyright law overwhelmingly serves corporate interests rather than individual creators

Creating new "learning rights" or "style rights" would further empower large corporations while harming individual artists and fan creators

Many AWAY members live outside the United States, many of which having been directly damaged by the US, and thus understand that intellectual property regimes are often tools of imperial control that benefit wealthy nations

Instead, we emphasize respect for artists who are protective of their work and style. Our guidelines explicitly prohibit imitating the style of artists who have voiced their distaste for AI, working on an opt-in model that encourages traditional artists to give and subsequently revoke permissions if they see fit. This approach is about respect, not legal enforcement. We are not a pro-copyright group.

In Conclusion

AWAY aims to cultivate thoughtful, ethical engagement with new technologies, while also holding respect for creative communities outside of itself. As a collective, we recognize that real environmental solutions require addressing concepts such as imperial exploitation, extractive capitalism, and corporate power—not just focusing on individual consumer choices, which do little to change the current state of the world we live in.

When discussing environmental impacts, it's important to keep perspective on a relative scale, and to avoid ignoring major issues in favor of smaller ones. We promote balanced discussions based in concrete fact, with the belief that they can lead to meaningful solutions, rather than misplaced outrage that ultimately serves to maintain the status quo.

If this resonates with you, please feel free to join our discord. :)

Works Cited:

USGS Water Use Data: https://www.usgs.gov/mission-areas/water-resources/science/water-use-united-states

Golf Course Superintendents Association of America water usage report: https://www.gcsaa.org/resources/research/golf-course-environmental-profile

Equinix data center water sustainability report: https://www.equinix.com/resources/infopapers/corporate-sustainability-report

Environmental Working Group's Meat Eater's Guide (beef energy calculations): https://www.ewg.org/meateatersguide/

Hugging Face AI energy consumption study: https://huggingface.co/blog/carbon-footprint

International Energy Agency report on data centers: https://www.iea.org/reports/data-centres-and-data-transmission-networks

Goldman Sachs "Generational Growth" report on AI power demand: https://www.goldmansachs.com/intelligence/pages/gs-research/generational-growth-ai-data-centers-and-the-coming-us-power-surge/report.pdf

Artists Network's guide to eco-friendly art practices: https://www.artistsnetwork.com/art-business/how-to-be-an-eco-friendly-artist/

The Earth Chronicles' analysis of art materials: https://earthchronicles.org/artists-ironically-paint-nature-with-harmful-materials/

Natural Earth Paint's environmental impact report: https://naturalearthpaint.com/pages/environmental-impact

Our World in Data's global emissions by sector: https://ourworldindata.org/emissions-by-sector

"The High Cost of High Tech" report on electronics manufacturing: https://goodelectronics.org/the-high-cost-of-high-tech/

"Unearthing the Dirty Secrets of the Clean Energy Transition" (on rare earth mineral mining): https://www.theguardian.com/environment/2023/apr/18/clean-energy-dirty-mining-indigenous-communities-climate-crisis

Electronic Frontier Foundation's position paper on AI and copyright: https://www.eff.org/wp/ai-and-copyright

Creative Commons research on enabling better sharing: https://creativecommons.org/2023/04/24/ai-and-creativity/

[mariacallous]

Following a White House edict effectively banning federal employees from disclosing their personal pronouns in email signatures, sources within multiple federal agencies say pronouns are now being systemically blocked across multiple email clients and other software.

WIRED confirmed various automated efforts with employees at the United States Agency for International Development (USAID), the Environmental Protection Agency (EPA), the General Services Administration (GSA), the US Department of Agriculture, and the Centers for Disease Control and Prevention (CDC).

The employees spoke to WIRED on condition of anonymity, citing fears of retaliation.

Multiple agency directors sent emails over the weekend telling staff that, due to President Donald Trump’s executive order, their offices would be removing the pronoun capability from Office 365. Employees were told they’d also need to remove pronouns from their email signatures in order to comply with the directive.

A staffer at USAID says the formal deactivation of their ability to list pronouns occurred last week, in response to executive orders defining sexes issued by President Trump on his first day in office. A GSA staffer says pronouns were wiped from employees’ email signatures after hours on Friday and were also no longer visible in Slack, the workplace messaging app. At the CDC, there used to be a section for employees to share their pronouns on their Teams profiles, another workplace app. That field no longer exists.

Reached for comment, the White House transferred WIRED to OPM communications director McLaurine Pinover, who pointed to January 29 memorandum ordering agencies to disable all features “that prompt users for their pronouns.”

The ban on personal pronouns follows sweeping efforts by the White House to eliminate programs that encourage diversity and social justice within the federal government, as well as other references to “diversity, equity, and inclusion” in federal employees’ discourse.

In a striking example of the policy in action, an image surfaced last week of a wall being painted over at the Federal Bureau of Investigation's Quantico, Virginia, academy due to it listing "diversity" among the bureau's core values. (According to an email from the FBI’s Office of Integrity and Compliance obtained by Mother Jones, the bureau no longer counts "diversity" among its core values.)

The Trump administration began a radical campaign last week aimed at inducing members of the federal workforce to leave their jobs ahead of threatened reductions. The effort is spearheaded by Elon Musk, leader of the so-called Department of Government Efficiency (DOGE), a task force that has effectively seized control of several federal agencies and sensitive government systems with apparent clearance from the White House.

WIRED reported last week that Musk’s outfit had effectively taken over the Office of Personnel Management, the US government’s human resources department. In this and other efforts, it is employing inexperienced young engineers whose ages range from 19 to 24—many of whom, public records show, are former interns or have been affiliated with Musk-aligned companies.

OPM emailed federal workers on January 28 with a “deferred resignation offer,” sparking widespread confusion among federal workers. (DOGE’s own new HR chief was unable to answer basic questions about the offer in a contentious staff meeting last week, WIRED reported.) In an email to staff Sunday evening, OPM clarified whether the deferred resignation program complied with existing privacy laws. “Yes,” read the answer. “The deferred resignation program uses only basic contact information about federal employees, like name and government address, along with short, voluntary email responses. The information is stored on government systems. To the extent that the Privacy Act applies, all information relevant to the program is covered by existing OPM System Records Notices.”

Multiple agency sources told WIRED last week that several of Musk's lieutenants had been granted access to key computer systems controlled by the GSA, an independent agency tasked by Congress with overseeing federal buildings and providing equipment, supplies, and IT support across the government.

[reasonsforhope]

Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots - developing datasets she hopes will help target aid, new housing, or clinics.

From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges.

Local knowledge is vital for designing AI-driven solutions that work, Sefala said.

"If you don't have people with diverse experiences doing the research, it's easy to interpret the data in ways that will marginalise others," the 26-year old said from her home in Johannesburg.

Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

"For Africa to get out of poverty, it will take innovation and this can be revolutionary, because it's Africans doing things for Africa on their own," said Cina Lawson, Togo's minister of digital economy and transformation.

"We need to use cutting-edge solutions to our problems, because you don't solve problems in 2022 using methods of 20 years ago," Lawson told the Thomson Reuters Foundation in a video interview from the West African country.

Digital rights groups warn about AI's use in surveillance and the risk of discrimination, but Sefala said it can also be used to "serve the people behind the data points". ...

'Delivering Health'

As COVID-19 spread around the world in early 2020, government officials in Togo realized urgent action was needed to support informal workers who account for about 80% of the country's workforce, Lawson said.

"If you decide that everybody stays home, it means that this particular person isn't going to eat that day, it's as simple as that," she said.

In 10 days, the government built a mobile payment platform - called Novissi - to distribute cash to the vulnerable.

The government paired up with Innovations for Poverty Action (IPA) think tank and the University of California, Berkeley, to build a poverty map of Togo using satellite imagery.

Using algorithms with the support of GiveDirectly, a nonprofit that uses AI to distribute cash transfers, the recipients earning less than $1.25 per day and living in the poorest districts were identified for a direct cash transfer.

"We texted them saying if you need financial help, please register," Lawson said, adding that beneficiaries' consent and data privacy had been prioritized.

The entire program reached 920,000 beneficiaries in need.

"Machine learning has the advantage of reaching so many people in a very short time and delivering help when people need it most," said Caroline Teti, a Kenya-based GiveDirectly director.

'Zero Representation'

Aiming to boost discussion about AI in Africa, computer scientists Benjamin Rosman and Ulrich Paquet co-founded the Deep Learning Indaba - a week-long gathering that started in South Africa - together with other colleagues in 2017.

"You used to get to the top AI conferences and there was zero representation from Africa, both in terms of papers and people, so we're all about finding cost effective ways to build a community," Paquet said in a video call.

In 2019, 27 smaller Indabas - called IndabaX - were rolled out across the continent, with some events hosting as many as 300 participants.

One of these offshoots was IndabaX Uganda, where founder Bruno Ssekiwere said participants shared information on using AI for social issues such as improving agriculture and treating malaria.

Another outcome from the South African Indaba was Masakhane - an organization that uses open-source, machine learning to translate African languages not typically found in online programs such as Google Translate.

On their site, the founders speak about the South African philosophy of "Ubuntu" - a term generally meaning "humanity" - as part of their organization's values.

"This philosophy calls for collaboration and participation and community," reads their site, a philosophy that Ssekiwere, Paquet, and Rosman said has now become the driving value for AI research in Africa.

Inclusion

Now that Sefala has built a dataset of South Africa's suburbs and townships, she plans to collaborate with domain experts and communities to refine it, deepen inequality research and improve the algorithms.

"Making datasets easily available opens the door for new mechanisms and techniques for policy-making around desegregation, housing, and access to economic opportunity," she said.

African AI leaders say building more complete datasets will also help tackle biases baked into algorithms.

"Imagine rolling out Novissi in Benin, Burkina Faso, Ghana, Ivory Coast ... then the algorithm will be trained with understanding poverty in West Africa," Lawson said.

"If there are ever ways to fight bias in tech, it's by increasing diverse datasets ... we need to contribute more," she said.

But contributing more will require increased funding for African projects and wider access to computer science education and technology in general, Sefala said.

Despite such obstacles, Lawson said "technology will be Africa's savior".

"Let's use what is cutting edge and apply it straight away or as a continent we will never get out of poverty," she said. "It's really as simple as that."

-via Good Good Good, February 16, 2022