Sensor-based Technologies for Real-time Monitoring and Precision Targeting of Insect Pests
Mohd Ashaq
Department of Botany Govt Degree College Thannamandi Rajouri, J&K, - 185212, India.
Sagar Kashinath Khokale *
Sandip Institute of Pharmaceutical Sciences, Nashik India.
Ravishankar B. S.
Department of Zoology, BLDEA's, Commerce, BHS Arts & TGP Science College, Jamkhandi Taluk, Bagalkot District, Karnataka State, India.
Kunika Gandotra
Department of Food Science and Technology, I.K.Gujral Punjab Technical University, Kapurthala-144601, Punjab, India.
Neha Parikh
Department of Extension Education, College of Agriculture, Parul University, India.
Ishanu Mandal
Faculty of Agriculture, JIS University, Kolkata, India.
Lalit Upadhyay
SKUAST, Jammu, India.
Priyanka Anand
Institute of Biotechnology, SKUAST Jammu, J&K -180009, India.
Satya Narayan Satapathy
Department of Entomology, Faculty of Agricultural Sciences, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
*Author to whom correspondence should be addressed.
Abstract
Insect pests pose significant threats to agricultural production, causing substantial yield losses and economic damage worldwide. Conventional insect monitoring methods, such as manual scouting and trap-based sampling are labour-intensive, time-consuming and often fail to provide timely and actionable information for effective pest management. Recent advancements in sensor technologies have paved the way for real-time, in-situ monitoring of insect pests, enabling precision targeting and site-specific control interventions. This review article explores the various types of sensors, including acoustic, optical and chemical sensors and their applications in detecting, identifying and quantifying insect pests. The review also discussed the design and implementation of wireless sensor networks for scalable and robust insect monitoring, along with data analytics approaches for automated pest detection and spatio-temporal modelling of pest population dynamics. Furthermore, the study highlights the integration of sensor data into precision pest management systems, such as sensor-guided pesticide application technologies and intelligent pest control strategies. Real-world case studies demonstrating the efficacy of sensor-based pest management in diverse agricultural settings are presented.
Keywords: Insect pests, sensor technologies, real-time monitoring, precision pest management, wireless sensor networks