April 30, 2025Open Access

Use of Artificial Intelligence in Agriculture and Farming

Puntos clave

AI significantly enhances yield by addressing challenges like soil issues and pests, indicating its importance for farmers.
Key advantages of AI include cost-effectiveness and precision, with studies showing potential reductions in cultivation costs.
Assessment includes AI applications across crop, weed, and disease management, highlighting various strategies for farmers.
Understanding AI's limitations is crucial, as it may create a gap between technology and farmers if not properly managed.

Resumen

Recently, the agriculture industry has demonstrated the use of artificial intelligence (AI). In order to increase yield, the industry must overcome a number of obstacles, such as poor soil treatment, insect and disease infestation, the need for huge data, low output, and a knowledge gap between farmers and technology. The key ideas of AI in agriculture are its cost-effectiveness, precision, high performance, and flexibility. An overview of AI's uses in crop, weed, disease, and soil management is provided in this study. Particular attention is paid to the application's advantages and disadvantages as well as how to use expert systems to increase output and reduce cultivation costs.

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Cite This Study

Chitalkar et al. (Wed,) studied this question.

synapsesocial.com/papers/68af55ccad7bf08b1eadbfd5 https://doi.org/https://doi.org/10.48175/ijarsct-25461

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