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To address the challenges ahead, our state legislature has an opportunity to embrace AI and IOT’s ability to strengthen the transformation of our agricultural sector by encouraging similar ...
The FAO-ITU E-agriculture Strategy Guide [18] provides a framework to holistically address the ICT opportunities and challenges for the agricultural sector in a more efficient manner while generating new revenue streams and improve the livelihoods of the rural community as well as ensure the goals of the national agriculture master plan are ...
In Indiana, where agriculture contributes an estimated $35 billion annually to the state's economy, experts believe AI holds the potential to transform the industry's production methods and ...
Emerging digital technologies have the potential to be game-changers for traditional agricultural practices. The Food and Agriculture Organization of the United Nations has referred to this change as a revolution: "a 'digital agricultural revolution' will be the newest shift which could help ensure agriculture meets the needs of the global population into the future."
Generative artificial intelligence (generative AI, GenAI, [166] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 167 ] [ 168 ] [ 169 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 170 ...
As CIO of an agricultural giant with annual sales of $177 billion, Jennifer Hartsock thinks about how the tech tools and capabilities she deploys can help farmers become profitable and sustainable.
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
This research cannot take place in isolation; coupling AI and computing with advances in the natural, mathematical, and social sciences and engineering is essential to training workers and ...