AI Solutions for Pest Detection and Management in Agriculture

Ravi Samikannu, Jueying Li, Sam Goundar, Sangwoo Jeon, C. S. Madhumathi

Abstract


AI solutions are transforming pest detection and management practices in agriculture by enabling early identification and targeted interventions. This paper explores the methodologies and technologies utilized in AI-driven pest management, focusing on machine learning algorithms and image recognition systems. By presenting case studies, the paper highlights the benefits of AI solutions, including increased efficiency, reduced pesticide use, and improved crop health. Additionally, the challenges of integrating AI technologies into traditional farming practices are discussed, along with future prospects for AI in pest management.

Keywords


AI, pest detection, agriculture, pest management.

References


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