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  2. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    In agriculture, AI has been proposed as a way for farmers to identify areas that need irrigation, fertilization, or pesticide treatments to increase yields, thereby improving efficiency. [47] AI has been used to attempt to classify livestock pig call emotions, [20] automate greenhouses, [48] detect diseases and pests, [49] and optimize ...

  3. Why harnessing AI in Florida’s agriculture industry and ...

    www.aol.com/why-harnessing-ai-florida...

    The integration of AI and IoT in Florida's agriculture is not merely an advancement in productivity. It represents a strong commitment to safeguarding our precious water resources.

  4. Smart and green: AI tech makes waves in agriculture, but ...

    www.aol.com/smart-green-ai-tech-makes-221900298.html

    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 ...

  5. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  6. Information and communications technology in agriculture

    en.wikipedia.org/wiki/Information_and...

    The E-agriculture in Action series of publications, by FAO-ITU, that provides guidance on emerging technologies and how it could be used to address some of the challenges in agriculture through documenting case studies. E-agriculture in Action: Big Data for Agriculture [22] E-agriculture in Action: Blockchain for Agriculture [23]

  7. Artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_general...

    A problem is informally called "AI-complete" or "AI-hard" if it is believed that in order to solve it, one would need to implement AGI, because the solution is beyond the capabilities of a purpose-specific algorithm. [44] There are many problems that have been conjectured to require general intelligence to solve as well as humans.

  8. Agroecosystem analysis - Wikipedia

    en.wikipedia.org/wiki/Agroecosystem_analysis

    There are many aspects to consider; however, it is literally impossible to account for all of them. This is one of the issues when trying to conduct an analysis of an agricultural environment. In the past, an agroecosystem analysis approach might be used to determine the sustainability of an agricultural system. It has become apparent, however ...

  9. Sustainable agriculture - Wikipedia

    en.wikipedia.org/wiki/Sustainable_agriculture

    Sustainable agricultural systems are becoming an increasingly important field for AI research and development. By leveraging AI's skills in areas such as resource optimization, crop health monitoring, and yield prediction, farmers might greatly advance toward more environmentally friendly agricultural practices.