ARCHIVES
VOL. 6, ISSUE 2 (2024)
Implementation of AI in agriculture and identification of pest & application of pesticides using AI
Authors
Varun, Ayushi, Gurshaminder Singh
Abstract
Agriculture has a significant contribution to the economy. Agricultural
automation is a major cause of concern and a relatively new phenomenon
throughout the world. The world’s population is quickly growing, resulting in
increased demand for food and labor. Farmers’ customary techniques were
insufficient to achieve these goals. As a result, new automated techniques were
developed. These creative initiatives met food demands while also providing
work opportunities for many people. Agriculture has changed because of
artificial intelligence (AI). This strategy has shielded agricultural
production from a variety of threats such as weather, population growth, labor
rights, and food security concerns. The major issue of this is the numerous
applications of AI in agriculture, such as irrigation, weeding, and spraying
with different sensors or other ways implanted in robots and drones. These
technologies limit the use of water, pesticides, and herbicides, preserve soil
fertility, and help in the effective use of labor, resulting in increased
output and quality. Many researchers make efforts to gain a quick overview of
the present state of automation in agriculture, including weeding systems using
robots and drones. Two automated weeding strategies as well as several soil
water sensing technologies are explored. The drones are employed for numerous
methods for spraying and crop monitoring. In this paper, we also discuss how AI
should be combined with other technologies and applications of AI for solving
farming challenges.
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Pages:6-12
How to cite this article:
Varun, Ayushi, Gurshaminder Singh "Implementation of AI in agriculture and identification of pest & application of pesticides using AI". International Journal of Agriculture and Plant Science, Vol 6, Issue 2, 2024, Pages 6-12
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