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Research Article Open access CC BY 4.0

Precision Farming Solutions: Integrating Technology for Sustainable Pest Management

Godavari H, Vidya Madhuri E, Tulasi B, Preeti Sharma, Ranjitha S M, Samreen, Rupali J S, Marella Sai Manoj, Sake Manideep, Keerthika N, Amit Umesh Paschapur

Journal of Advances in Biology & Biotechnology · pp. 33–54 · Published 11 Jul 2024

10.9734/jabb/2024/v27i81119

Abstract

Precision agriculture has revolutionized modern farming practices by integrating advanced technologies to optimize resource utilization, enhance crop productivity, and mitigate pest pressures. This article explores the intersection of precision agriculture and pest management, elucidating how precision techniques are tailored to combat pest challenges efficiently and sustainably. Precision agriculture employs a multi-faceted approach to pest management, leveraging various technologies and strategies across the agricultural landscape. Key components include remote sensing technologies for early pest detection, sensor technologies for real-time field monitoring, and GPS/GIS applications for precise mapping and targeted control measures. Integration of entomological data is essential in precision pest management, facilitating accurate pest identification, behaviour monitoring, and predictive modelling to anticipate and mitigate pest outbreaks effectively. Automated insect recognition systems, DNA barcoding, and decision support systems enable proactive pest management strategies tailored to specific pest species and environmental conditions. Quantifiable benefits, such as a 20% increase in efficiency and a 15% reduction in environmental impact, highlight the significance of precision pest management in modern agriculture. The target audience for this exploration includes researchers, farmers, and policymakers. Challenges in implementation, including technological barriers and farmer adoption, necessitate targeted strategies to facilitate widespread adoption and maximize benefits.

Precision agriculture pest management remote sensing technologies automated insect recognition systems sustainable agriculture remote sensing decision support systems real-time monitoring

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