ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience

The new initiative leverages artificial intelligence (AI) and machine learning (ML) to deliver hyper-local insights for climate-resilient agriculture. Revolutionizing how farmers anticipate and adapt to climate variability, the International Crops Research Institute for the Semi-Arid Tropics (ICRISA...

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Autores principales: Kumar, Shalander, Subbarao, AVM, Dhulipala, Ram, Kumar; Kishore G., Santanu Bal, Chandran, Sarath
Formato: News Item
Lenguaje:Inglés
Publicado: International Crops Research Institute for the Semi-Arid Tropics 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/180432
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author Kumar, Shalander
Subbarao, AVM
Dhulipala, Ram
Kumar; Kishore G.
Santanu Bal
Chandran, Sarath
author_browse Chandran, Sarath
Dhulipala, Ram
Kumar, Shalander
Kumar; Kishore G.
Santanu Bal
Subbarao, AVM
author_facet Kumar, Shalander
Subbarao, AVM
Dhulipala, Ram
Kumar; Kishore G.
Santanu Bal
Chandran, Sarath
author_sort Kumar, Shalander
collection Repository of Agricultural Research Outputs (CGSpace)
description The new initiative leverages artificial intelligence (AI) and machine learning (ML) to deliver hyper-local insights for climate-resilient agriculture. Revolutionizing how farmers anticipate and adapt to climate variability, the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) has joined forces with leading national and international institutions to launch a cutting-edge initiative that harnesses artificial intelligence (AI) and machine learning (ML) to deliver personalized, real-time climate advisory services to farmers.
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publishDate 2025
publishDateRange 2025
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publisher International Crops Research Institute for the Semi-Arid Tropics
publisherStr International Crops Research Institute for the Semi-Arid Tropics
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spelling CGSpace1804322026-01-23T02:07:54Z ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience Kumar, Shalander Subbarao, AVM Dhulipala, Ram Kumar; Kishore G. Santanu Bal Chandran, Sarath artificial intelligence machine learning climate-smart agriculture climate advisory services climate-resilient agriculture The new initiative leverages artificial intelligence (AI) and machine learning (ML) to deliver hyper-local insights for climate-resilient agriculture. Revolutionizing how farmers anticipate and adapt to climate variability, the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) has joined forces with leading national and international institutions to launch a cutting-edge initiative that harnesses artificial intelligence (AI) and machine learning (ML) to deliver personalized, real-time climate advisory services to farmers. 2025-07-30 2026-01-22T17:30:47Z 2026-01-22T17:30:47Z News Item https://hdl.handle.net/10568/180432 en Open Access application/pdf International Crops Research Institute for the Semi-Arid Tropics kumar, Shalander; Subbarao, AVM; Dhulipala, Ram; Kumar; Kishore G.; kumar, Santanu Bal; Chandran, Sarath. 2025. ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience.
spellingShingle artificial intelligence
machine learning
climate-smart agriculture
climate advisory services
climate-resilient agriculture
Kumar, Shalander
Subbarao, AVM
Dhulipala, Ram
Kumar; Kishore G.
Santanu Bal
Chandran, Sarath
ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title_full ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title_fullStr ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title_full_unstemmed ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title_short ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience
title_sort icrisat and partners launch ai powered climate advisory initiative to boost farmer resilience
topic artificial intelligence
machine learning
climate-smart agriculture
climate advisory services
climate-resilient agriculture
url https://hdl.handle.net/10568/180432
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