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Home CITY & TOWNS

VC SKUAST-K calls for intelligence-driven prediction-based pest management

KI News by KI News
February 27, 2026
in CITY & TOWNS, LOCAL
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SRINAGAR: Vice Chancellor, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K), Prof. Nazir Ahmad Ganai, today underscored the urgent need for India to transition from reactive pest control measures to an intelligence-driven, predictive plant health management system to safeguard the nation’s agricultural economy.

He delivered this message during his keynote address on the opening day of the National Conference on ‘Innovations in Plant Health Management for Resilient Agriculture and Agri-Export Promotion’.

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The three-day event, organised by the National Institute of Plant Health Management (NIPHM) from February 26–28, 2026, brought together the nation’s leading scientists and policymakers to address a rapidly shifting biological risk landscape.

During his address, Prof Ganai highlighted that while India celebrates record-breaking production, exceeding 330 million tonnes of food grains and 369 million tonnes in horticulture, a significant portion of this progress is being eroded by pests and diseases. He noted that global scientific estimates suggest 20% to 40% of crops are lost annually to biological stresses. Even by conservative domestic estimates, these losses represent high economic and ecological costs, including wasted irrigation water, fertilisers, energy, and farmer effort. Vice Chancellor warned that traditional plant protection systems, often based on fixed spray schedules, are no longer sufficient to combat threats that are becoming faster, more mobile, and increasingly resistant to conventional chemical controls.

Prof Ganai called for the full operationalisation of the National Integrated Plant Health Intelligence Mission (NIPHIM) to modernise India’s plant health defences. He proposed a transition to data-driven surveillance, risk-based advisories, and targeted interventions. This vision includes the development of a digital pest surveillance grid using smart traps, the adoption of precision technologies like drones, and the integration of climate-linked forecasting models to anticipate pest emergence. He clarified that the goal is not to eliminate protection measures, but to make them more precise, efficient, and environmentally responsible. Such a shift would reduce pesticide dependence, slow resistance development, and improve compliance with international export standards regarding chemical residues, he said.

The Vice Chancellor also emphasized that climate-sensitive and temperate agro-ecosystems, such as those in Jammu and Kashmir, require customised surveillance systems aligned with their unique horticultural profiles.

During the inaugural session, he also declared open a new MOOC course on ‘Appropriate Pesticide Application Techniques’, aimed at educating practitioners on safer and more effective methods. The address was widely praised by participating scientists and policymakers as a timely and essential roadmap for navigating emerging biological risks.

Following the session, Prof Ganai, accompanied by entomology scientists, Prof Sajad Mohiuddin and Prof Abu Manzar, visited the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). They held a detailed meeting with Director General, Dr Himanshu Pathak and his team to explore collaborative research avenues. The discussions focused on mitigating agricultural challenges under current climate and trade scenarios, with a specific focus on developing collaborative strategies for invasive pest surveillance. This partnership aims to directly benefit farmers in the Kashmir Valley and across the country, ensuring that plant health remains a robust pillar of India’s food and trade security.

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Kashmir Images is an English language daily newspaper published from Srinagar (J&K), India. The newspaper is one of the largest circulated English dailies of Kashmir and its hard copies reach every nook and corner of Kashmir Valley besides Jammu and Ladakh region.

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