04/23/2024 SOURCE: phys.org
Rice (Oryza sativa) is a staple food for many people, but rice production is challenged by climate change, making it critical to improve yield traits such as panicle number per unit area (PNpM2).
An AI-driven approach to enhancing rice yield prediction and selection
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04/23/2024 SOURCE: ticotimes.net
Discover how Latin American start-ups are transforming the agricultural industry using artificial intelligence and data analytics.
Can AI and Big Data Solve Latin America's Farming Woes?
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04/17/2024 SOURCE: www.foxnews.com
A South African startup is using AI software, drones and mobile phones to combat climate change by analyzing fruit and nut crops for U.S. farmers and growers in 18 other countries.
African drone company uses AI to give vital help to US fruit and nut farmers
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04/16/2024 SOURCE: www.eco-business.com
Genetic innovations and AI-driven tech can help mitigate climate risks for rice, says the International Rice Research Institute’s incoming chief.
Innovation ‘imperative’ for securing rice production
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04/12/2024 SOURCE: www.foxnews.com
A South African startup is using AI software, drones and mobile phones to combat climate change by analyzing fruit and nut crops for U.S. farmers and growers in 18 other countries.
African drone company uses AI to give vital help to US fruit and nut farmers
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03/27/2024 SOURCE: www.bbc.com
American farmers are rapidly ploughing ahead with adopting artificial intelligence. The technology is as sophisticated as it is essential.
US farms are making an urgent push into AI. It could help feed the world
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06/19/2023 SOURCE: www.efeedlink.com
The Fukushima Agricultural Technology Centre in Japan has made significant progress in beef quality assessment with the development of an artificial intelligence (AI)-based system, The Japan Times reported.
AI system developed to evaluate beef quality in Fukushima, Japan
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Nancy Kavazanjian
Topics: Agriculture Global, AI/Artificial Intelligence,
Is the future of agriculture autonomous?
Drones and self-driving farm machinery, combined with artificial intelligence, machine learning and other technology, can lead to significant efficiencies and improved yields
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