India’s pest management practices took a leap forward with the launch of the AI-based National Pest Surveillance System (NPSS). This cutting-edge platform, launched by Ministry of Agriculture and Farmers Welfare, is powered by Artificial Intelligence (AI) and Machine Learning (ML), and provides farmers with real-time, precise guidance through a mobile app and web portal.
By directly connecting farmers with agricultural experts, NPSS offers advanced tools to protect crops and enhance productivity, positioning it as a game-changer in the nation’s agrotech landscape.
The NPSS is a digital initiative spearheaded by the Directorate of Plant Protection, Quarantine & Storage in collaboration with ICAR-National Research Centre for Integrated Pest Management. This platform harnesses the power of Artificial Intelligence (AI) and Machine Learning (ML) to provide farmers with timely and precise pest management advice through their smartphones.
The system features a user-friendly mobile app and a comprehensive web portal. Farmers can now connect with agriculture scientists and pest control experts by uploading photos of their fields. If pests or insects are detected, the AI-driven platform analysis the images and provides guidance on pest control strategies.
“With NPSS, farmers have a powerful tool at their fingertips to combat pest issues and safeguard their crops. This initiative will not only improve pest management practices but also support agricultural productivity across the country.”
The minister highlighted that NPSS aims to prevent pest epidemics and reduce crop losses by offering real-time data and expert advice. The system also includes a national pest repository, which will help public agencies identify pest hotspots and develop effective plant protection policies.
The launch of NPSS aims to modernize agriculture in India, enhancing food security, and supporting sustainable farming practices. This initiative underscores the Government’s commitment to leveraging technology for the welfare of farmers and the advancement of the agricultural sector.
