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International Journal of
Agriculture and Plant Science
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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