Use of AI and Robotics for Automated Insect Trapping and Identification

Every year, insect pests reduce agricultural yields significantly, endangering food security and farm profitability. Traditional pest monitoring techniques rely mainly on manual scouting and expert identification, which are time-consuming, labor-intensive, and frequently wrong. Recent breakthroughs in artificial intelligence (AI) and robotics have expanded the possibilities for automated insect capturing and identification. These technologies enable real-time pest monitoring, precise species identification, and timely pest control decisions. This article addresses the importance of AI and robotics in automated insect monitoring, including the essential technologies involved, the advantages to contemporary agriculture, implementation obstacles, and future possibilities. The use of sophisticated pest monitoring systems represents a significant step toward precision agriculture and sustainable crop protectio