Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services
South Asia’s agrifood systems are highly vulnerable to climate variability, with frequent droughts, floods, and heatwaves threatening rainfed farming and rural livelihoods. Traditional district-level advisories lack the precision and timeliness required for effective risk management at the farm scal...
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| Formato: | Ponencia |
| Lenguaje: | Inglés |
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International Crops Research Institute for the Semi-Arid Tropics
2025
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| Acceso en línea: | https://hdl.handle.net/10568/177631 |
| _version_ | 1855526433455079424 |
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| author | Kumar, Shalander Rao, K.P.C. Kumar, G. Kishore |
| author_browse | Kumar, G. Kishore Kumar, Shalander Rao, K.P.C. |
| author_facet | Kumar, Shalander Rao, K.P.C. Kumar, G. Kishore |
| author_sort | Kumar, Shalander |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | South Asia’s agrifood systems are highly vulnerable to climate variability, with frequent droughts, floods, and heatwaves threatening rainfed farming and rural livelihoods. Traditional district-level advisories lack the precision and timeliness required for effective risk management at the farm scale. To address this, ICRISAT and its partners have developed AI-powered platforms—the Intelligent Systems Advisory Tool (iSAT) and Next-Gen Climate Services Dashboard (NGCS)—which integrate historical climate data, real-time forecasts, and local agronomic information to generate automated, context-specific advisories. These systems employ machine learning and decision-tree logic to translate complex weather data into actionable insights, enabling timely recommendations on sowing, irrigation, and crop protection. Field pilots across India have demonstrated significant improvements in yield and decision-making, with 72% of farmers rating the advisories as highly useful. The platforms are now being scaled under India’s Monsoon Mission-III and adapted for Africa through CGIAR’s Climate Action and Digital Transformation Accelerator initiatives, positioning AI-driven advisory systems as global public goods for climate-resilient agriculture. |
| format | Ponencia |
| id | CGSpace177631 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Crops Research Institute for the Semi-Arid Tropics |
| publisherStr | International Crops Research Institute for the Semi-Arid Tropics |
| record_format | dspace |
| spelling | CGSpace1776312025-11-07T02:08:15Z Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services Kumar, Shalander Rao, K.P.C. Kumar, G. Kishore artificial intelligence climate services weather forecasting risk management South Asia’s agrifood systems are highly vulnerable to climate variability, with frequent droughts, floods, and heatwaves threatening rainfed farming and rural livelihoods. Traditional district-level advisories lack the precision and timeliness required for effective risk management at the farm scale. To address this, ICRISAT and its partners have developed AI-powered platforms—the Intelligent Systems Advisory Tool (iSAT) and Next-Gen Climate Services Dashboard (NGCS)—which integrate historical climate data, real-time forecasts, and local agronomic information to generate automated, context-specific advisories. These systems employ machine learning and decision-tree logic to translate complex weather data into actionable insights, enabling timely recommendations on sowing, irrigation, and crop protection. Field pilots across India have demonstrated significant improvements in yield and decision-making, with 72% of farmers rating the advisories as highly useful. The platforms are now being scaled under India’s Monsoon Mission-III and adapted for Africa through CGIAR’s Climate Action and Digital Transformation Accelerator initiatives, positioning AI-driven advisory systems as global public goods for climate-resilient agriculture. 2025-09-06 2025-11-06T06:51:02Z 2025-11-06T06:51:02Z Presentation https://hdl.handle.net/10568/177631 en Open Access application/pdf International Crops Research Institute for the Semi-Arid Tropics Kumar, S., Rao, K.P.C. and Kumar, K.G. 2025. Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services. Lecture Series on Agrometeorology, South Asian Forum for Agricultural Meteorology (SAFOAM), 6 September 2025. Patancheru, India: ICRISAT. |
| spellingShingle | artificial intelligence climate services weather forecasting risk management Kumar, Shalander Rao, K.P.C. Kumar, G. Kishore Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title | Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title_full | Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title_fullStr | Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title_full_unstemmed | Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title_short | Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services |
| title_sort | building climate resilience in agrifood systems through ai powered agromet advisory services |
| topic | artificial intelligence climate services weather forecasting risk management |
| url | https://hdl.handle.net/10568/177631 |
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