Abstract
Insect pests pose a significant threat to agricultural production, requiring effective monitoring and management strategies. Recent advancements in remote sensing and automated monitoring technologies offer promising solutions for early detection and surveillance of insect pests in agricultural systems. This review paper explores the current state-of-the-art remote sensing and automated monitoring approaches for insect pest detection, including satellite imagery, unmanned aerial vehicles (UAVs), wireless sensor networks, and machine learning algorithms. We discuss the advantages, limitations, and potential applications of these technologies in precision agriculture and integrated pest management. Case studies highlighting successful implementations of remote sensing and automated monitoring systems for major insect pests are presented. Furthermore, we outline future research directions and challenges in developing cost-effective, scalable, and reliable pest monitoring solutions. The integration of remote sensing and automated monitoring systems with decision support tools and precision pest control strategies holds great promise for improving crop protection and ensuring sustainable food production in the face of increasing pest pressures.
Published Version
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