Food & Agriculture


John Deere Uses Machine Learning to Help Fewer Farmers Do More with Less

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Farming and advanced AI may seem antithetical, but they're not. The venerable farm equipment company has not only long embraced advanced technologies, the company for years has evangelized adoption of high performance clusters and simulation software for product design. And Deere freely states it's an extremely complex undertaking. In a recent article in IEEE, Deere's Julian Sanchez, who heads the Moline, IL, company's intelligent vehicles strategy, said that while the company is working on autonomous driving, "it's not just about driving tractors around." The more difficult problem, he said, is crop classification.


Artificial intelligence and farmer knowledge boost smallholder maize yields

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IMAGE: This is a maize field in Colombia. Farmers in Colombia's maize-growing region of Córdoba had seen it all: too much rain one year, a searing drought the next. Yields were down and their livelihoods hung in the balance. The situation called for a new approach. They needed information services that would help them decide what varieties to plant, when they should sow and how they should manage their crops.


Maharashtra Using Satellite Imagery, Artificial Intelligence For Better Crop Yield IndianWeb2.com

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Maharashtra has put into action Artificial Intelligence to alleviate agricultural hazards by making use of analysed data to fill in any clefts. The project so named, is the Maha Agri Tech project and had become operational in January this year. The Artificial Intelligence (AI) being employed in the first phase are the satellite images, based on mining data together from by the Maharashtra Remote Sensing Application Centre (MRSAC) and the National Remote Sensing Centre (NRSC) in Hyderabad. Moving on to its second phase, (in the upcoming rabid season) a yield model would be constructed wherein, data sets from different data providers will be amalgamated to create a territorial database of soil nutrients, rainfall, moisture stress and a few other relevant factors. This as a consequence will promote location specific consultation to farmers.


How AI Is Transforming the Future of Agriculture Industry

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Artificial intelligence technology is supporting different sectors to boost productivity and efficiency. AI solutions are assisting to overcome the traditional challenges in every field. AI in agriculture is helping farmers to improve their efficiency and reduce environmental hostile impacts. The agriculture industry strongly and openly embraced AI into their practice to change the overall outcome. AI is shifting the way our food is produced where the agricultural sector's emissions have decreased by 20%.


The Role of Artificial intelligence in Agriculture Sector

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Artificial intelligence technology is supporting different sectors to boost productivity and efficiency. AI solutions are assisting to overcome the traditional challenges in every field. AI in agriculture is helping farmers to improve their efficiency and reduce environmental hostile impacts. The agriculture industry strongly and openly embraced AI into their practice to change the overall outcome. AI is shifting the way our food is produced where the agricultural sector's emissions have decreased by 20%.


Beyond the Hype: Putting AI and Machine Learning to Work on a Dairy Farm

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In this inteview, we discuss the internet of cows, how AI and machine learning are used on a dairy farm, the type of data that comes from every cow and how that data is used to drive decisions. We also discuss the black box of AI, and what's ahead for Artificial Intelligence and the future of mankind. Peter Schooff: Hello, this is Peter Schooff, editor of Data Decisioning and today I am very pleased to be joined by Bharath Sudarsan, the founder and director of artificial intelligence for SomaDetect. And that's pretty much what we're going to focus on in this podcast: exactly how AI and Internet of Things is contributing to companies at their operational level. In fact, I think I just recently saw that you guys referred to the IoT as the Internet of Cows, and I definitely want to hear about that.


Bayer chooses UK for its AI-focused R&D hub -

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Bayer has continued its policy of setting up R&D hubs to get closer to innovative companies with a UK site that will focus on applying artificial intelligence to drug discovery and disease diagnosis. The cluster – based at Reading's Green Park – is the seventh in the German company's LifeHub network, located at R&D hot spots around the globe, and is further evidence of the UK's leading position in AI technology. According to the Tech Nation 2019 report, the UK is today the world's third biggest market for AI investment after the US and China with funding rising six-fold since 2014. Bayer already has one company getting ready to set up a unit at LifeHub UK. Sensyne Health, which started working with the German group earlier this year, will base a project focusing on applying AI to automate image evaluation in radiology at the site.


UF researches develop tool that targets chemical spray directly to plants

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Keeping your food clean, while saving money. Researchers came up with a prototype to target the plants they spray, rather than spewing chemicals over crops that don't need it. "Reduce the amount of chemicals we apply, and that will help us help growers to increase profit, so reduce costs, input costs," said Dr. Yiannis Ampatzidis, assistant professor, UF's Institute of Food and Agricultural Sciences Southwest Florida Research and Education Center. The prototype uses cameras and artificial intelligence to target specific weeds or crops. It can even fit underneath something as small as a golf cart and as big as a blueberry harvester.


Taking the Risk out of Risk Analysis - An AI Story

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Artificial intelligence (AI) has been celebrated for its application across a ton of fields, from medicine to agriculture, science, computer programming, finance and security. For the 21st century farmer, AI can help detect crop disease, predict crop yields and spray pesticide with pinpoint accuracy. With respect to medicine and health, AI can allow scientists to analyse the genetic code of DNA to detect genomic condition, predict hypoglycemic events hours in advance of them occurring, and detect cancer in tissue slides better than human epidemiologists. AI is also a key driver transforming the banking industry; helping banks save time, boost their revenue and bringing more accessible technology to consumers. But there is one area of banking where little recognition has been given until now of the immense opportunity AI offers: that of making risk analysis easier than ever before, essentially, taking the risk out of risk analysis.


Satellite imagery, artificial intelligence to improve farm yields in Maharashtra

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Launched in January this year, the Maha Agri Tech project seeks to use technology to address various cultivation risks ranging from poor rains to pest attacks, accurately predict crop-wise and area-wise yield and eventually to use this data to inform policy decisions including pricing, warehousing and crop insurance. When farmers in six districts of Maharashtra begin sowing for the coming rabi season, this project will enter its second phase where artificial intelligence and satellite imagery will be used to mitigate risks. Fields of the farmers that are part of the project will be monitored via satellite images at every stage right until the harvest. In its first phase the Maha Agri Tech project used satellite images and analysis from the Maharashtra Remote Sensing Application Centre (MRSAC) and the National Remote Sensing Centre (NRSC) in Hyderabad to assess the acreage and the conditions of select crops in select talukas. In its second phase, various data sets from diverse data providers will be combined to build yield modelling and a geospatial database of soil nutrients, rainfall, moisture stress and other parameters to facilitate location-specific advisories to farmers.