Precision Agriculture and Smart Technologies for Insect Pest Management
Mahendra Pratap Singh
School of Agricultural Science and Technology, IFTM University, Moradabad, India.
Neelesh Raypuriya *
RVSKVV, Gwalior, India.
Harishankar
College of Agriculture and Research Station, Jashpur (C.G.), Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), India.
Ashish Kumar Singh
College of Agriculture and Research Station, Jashpur (C.G.), Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), India.
Chandan Kumar Panigrahi
Department of Entomology, Faculty of Agricultural Sciences, Siksha 'O' Anusandhan, Deemed to be University, Bhubaneswar - 751003, Odisha, India.
Narinder Panotra
Institute of biotechnology, SKUAST Jammu, Chatha, (J & K)-180009, India.
Aradhana Boruah
Department of Agricultural Engineering, Assam University, Silchar Assam, India.
Anchal Singh
School of Agricultural Science and Technology, IFTM University, Moradabad, India.
Deepak Sharma
Department of Electronics and communication Engineering, Jaypee University of Engineering and Technology, Guana, India.
Pratibha Tripathi
D.A-V College Kanpur, India.
*Author to whom correspondence should be addressed.
Abstract
Insect pests pose a major threat to agricultural productivity worldwide. Traditional broad-spectrum insecticide applications often result in adverse environmental impacts and insecticide resistance. Precision agriculture, involving the integration of advanced technologies such as remote sensing, geographic information systems (GIS), and smart sensors, offers promising solutions for sustainable insect pest management. This review explores the application of precision agriculture techniques and smart technologies in detecting, monitoring, and managing insect pests. Key strategies discussed include remote sensing for early pest detection, GIS-based spatial analysis for targeted interventions, wireless sensor networks for real-time pest monitoring, and decision support systems for optimizing pest control measures. The integration of these technologies enables site-specific management practices, reducing insecticide usage and promoting ecological sustainability. However, challenges such as high initial costs, technical complexity, and data management issues need to be addressed for widescale adoption. Future research should focus on developing cost-effective, user-friendly, and interoperable precision agriculture tools to enhance insect pest management efficacy and sustainability in diverse agroecosystems.
Keywords: Precision agriculture, insect pests, remote sensing, GIS, wireless sensor networks, decision support systems