Remote Sensing and Automated Monitoring Systems for Insect Pest Detection and Surveillance
Saty Saran
Department of Entomology, U.P. Autonoms College, Varanasi, India.
Shivanand S. Hiremath *
ICAR KLE Krishi Vigyaan Kendra, Mattilopp, India.
Akhilesh Kumar
JNKVV - KVK and Department of Entomology, JNKVV - College of Agriculture, Rewa MP 486 001, India.
Ashoka, P
Department of Agronomy, College of Agriculture (University of Agriculture Science, Dharwad-580005) Hanumanmatti (p), Karnataka State, India.
Harpal Singh
Agroforestry University Institute of Agricultural Sciences, Chandigarh University, Mohali, Punjab, India.
Shaon Chakraborty
Agroforestry University Institute of Agricultural Sciences, Chandigarh University, Mohali, Punjab, India.
Vivek Kashyap
Krishi Vigyan Kendra, Deoghar, Jharkhand, India.
Awanindra Kumar Tiwari
Krishi Vigyan Kendra, Raebareli, UP., Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, UP, India.
Shivam Kumar Pandey
Rashtriya Raksha University, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Remote sensing, automated monitoring, insect pests, precision agriculture, integrated pest management