Precision Agriculture Technologies for Early Detection of Crop Pests and Diseases
Dipanwita Chattopadhyay *
Department of Hospital Management, Brainware University, India.
Y. Balachandra
Department of Soil Science, ANGRAU, India.
Ashoka, P
Department of Agronomy, College of Agriculture (UASD) Hanumanmatti(p) Ranebennur(tq), Haveri (District)– 581 115, Karanataka state, India.
Kailas Sampat Pagire
Department of Entomology, College of Agriculture, Sonapur, Gadchiroli. Dr. PDKV, Akola, Maharashtra.
Thaneshwar Kumar Sahu
Department of Biomedical Engineering and Bioinformatics, University Teaching Department (UTD), Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, India.
Narinder Panotra
Institute of Biotechnology, SKUAST Jammu J&K -180009, India.
G. Manisankar
Department of Agronomy, Visva-Bharati (A Central University), West Bengal - 731 236. India.
Kurru Charitha
Department of Entomology, College of Agriculture, RVSKVV, Gwalior, M.P., India.
Bal veer Singh
Department of Agronomy, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, India.
*Author to whom correspondence should be addressed.
Abstract
Crop pests and diseases pose significant challenges to agricultural productivity and food security worldwide. Traditional methods for detecting and managing these threats often rely on manual scouting and blanket pesticide applications, which can be labor-intensive, time-consuming, and environmentally harmful. Precision agriculture technologies offer promising solutions for early detection and targeted management of crop pests and diseases. This review article provides a comprehensive overview of the latest precision agriculture tools and techniques for monitoring crop health, detecting pests and diseases, and guiding site-specific interventions. Key technologies discussed include remote sensing, proximal sensing, machine learning, robotics, and Internet of Things (IoT) sensors. The article highlights the potential of these technologies to improve the timeliness, accuracy, and efficiency of pest and disease detection while reducing reliance on chemical inputs. It also discusses the challenges and opportunities for integrating these technologies into current agricultural practices and extension services. The review concludes with recommendations for future research and development to advance precision agriculture solutions for sustainable crop protection.
Keywords: Precision agriculture, early detection, crop pests, crop diseases, site-specific management