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| Pests are identified by AI as they fly through a light sensor inside this trap. (Photo by D. Mcgee via The Conversation) |
Jenkins County, with a population of roughly 8,700, is "among the top 25 cotton-growing counties in the state," write Debra Lam, Atin Adhikari and James E. Thomas for The Conversation. The area's farmers rely heavily on expensive pesticides to defeat "stink bugs, cotton bollworms, corn earworms, tarnished plant bugs and aphids."
The project aimed to help farmers determine when to spray their crops by combining "AI-based early pest detection methods with existing integrated pest management practices and the Georgia Cotton Insect Advisor app," according to the report. By integrating those tools, researchers learned how to "improve pest detection, decrease pesticide exposure levels and reduce insecticide use."
The project's outcome demonstrated that AI tools could reliably predict where and when pest infestations would occur, providing farmers with the knowledge they need to save money and labor costs by applying pesticides only where and when necessary.
Through the use of AI sensors, the research provided farmers with practical and intuitive ways to plan and protect their crops. According to the report, "Even after the sensors are gone, farmers who used them become better at spotting pests. . . . AI dashboards and mobile apps help them see how pest populations grow over time and respond to different field conditions."
The project was part of Georgia's ongoing effort to train more farmers and students on how to integrate precision agriculture into their farming or pest management practices. According to The Conversation's report, "The same tools could help local governments manage mosquitoes and ticks and open up more agtech innovations."

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