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भाकृअनुप–राष्ट्रीय पशुरोग जानपदिक एवं सूचना विज्ञान संस्थान

ICAR–National Institute of Veterinary Epidemiology and Disease Informatics

रामगोंडनहल्ली, येलहंका, बेंगलुरू – 560 119
Ramagondanahalli, Post Box No: 6450, Yelahanka, Bengaluru - 560 119

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🏆 National e-Governance Gold Award 2025

NADRES V2: AI-Driven Weather-Based Livestock Disease Forewarning System

🤖 AI-Powered Innovation

The National Animal Disease Referral Expert System version 2 (NADRES V2), developed by ICAR–NIVEDI, Bengaluru, has been awarded the National e-Governance Award (Gold) 2024–25 in the category "Innovation by Use of AI and Other New Age Technologies for Providing Citizen-Centric Services".

NADRES V2 is an advanced AI-enabled, weather-based livestock disease forewarning platform that integrates meteorological, remote sensing, epidemiological, and host density datasets with 20 Machine Learning algorithms to provide district-level risk predictions for 16 major livestock diseases up to two months in advance.

32.54M+

FRUITS SMS Alerts

April 2024 - June 2025

163K+

DLT SMS Alerts

14 States Coverage

731

KVK Centers

+ 35 NADEN Centers

⚙️ Technical Excellence

Uses datasets from GLDAS v2, NCEP, and MODIS along with ARIMA models for short-term weather forecasting, producing six-level risk classification maps using R software for targeted preventive measures.

Multi-channel dissemination strategy includes hard copies, email distribution, mobile apps (LDF & NER LDF), website access, and social media engagement to ensure comprehensive stakeholder reach.

🌟 Global Impact & Recognition

These timely alerts facilitate early actions such as vaccination, movement control, and awareness campaigns, mitigating outbreak impact. By combining AI-driven forecasting with efficient information delivery, NADRES V2 strengthens preparedness, reduces disease risk, safeguards rural livelihoods, and enhances livestock health resilience.

The Gold Award will be formally presented at the upcoming 28th National Conference on e-Governance, recognizing NADRES V2 as a national asset and a global benchmark in AI-based veterinary epidemiology.