ICRISAT
3 documented AI deployments at ICRISAT, across 1 industry. Each one links to the public source it was taken from.
Patancheru, India · Founded 1972 · icrisat.org · WikipediaSource: Wikidata, 2026-11-01
Public AI record
ICRISAT has 3 documented public AI cases on the hub, too few for a score. Agronomic advisory and crop disease detection are common among peers but not yet documented at ICRISAT.
A record score appears once ICRISAT has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Dec 2017, latest Jul 2025. No new deployment documented since Jul 2025. Cloud providers named: Microsoft.
Compared with peers
Against 11 other agriculture companies on the hub.
What peers document
- Agriculture optimization10 of 11 peers · here too91%
- Agronomic advisory4 of 11 peers36%
- Crop disease detection3 of 11 peers27%
- Crop yield prediction2 of 11 peers18%
Gaps against the industry
- Agronomic advisory: 36% of peers, not documented at ICRISAT yet
- Crop disease detection: 27% of peers, not documented at ICRISAT yet
Stack and approach vs peers
- Peer cases name Microsoft 88%, AWS 6%, GCP 2%.
- AI agents: 0% of ICRISAT's cases vs 29% for peers.
- Cases from the last 12 months: 0% vs 8% for peers.
Deployments
3 deployments at ICRISAT, newest first.
- 1 Jul 2025AgricultureIndia
Indian Farmers Boost Productivity and Sustainability with AI-Powered Decision Support
ICRISAT · Agriculture optimization · Microsoft
The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), in collaboration with Microsoft, implemented an AI-powered Decision Support System (DSS) to assist smallholder farmers in India’s semi-arid regions. The DSS integrates real-time data from weather stations, soil sensors, and satellite imagery, and leverages Microsoft Azure AI for predictive analytics to offer farmers precise and localized agricultural recommendations. These recommendations help optimize sowing times, fertilizer usage, pest control measures, and irrigation schedules. By adopting this system, farmers experienced increased crop yields, more efficient resource utilization, and notable reductions in production costs. The system also empowered farmers through risk mitigation such as early pest outbreak warnings and improved income predictability. The AI-enhanced DSS demonstrates how technology can address complex agronomic and socio-economic challenges, especially in developing regions. The initiative provides a scalable model for sustainable digital agriculture, with significant measurable impact on productivity, sustainability, and farmer empowerment. Challenges faced by the initiative included unpredictable weather patterns leading to uncertainty in sowing and irrigation, inefficient resource utilization causing wastage, frequent pest outbreaks and crop losses, and limited access to localized agronomic insights. The DSS solution was specifically designed for resource-constrained smallholder farmers and aimed at bridging the technology adoption gap in rural India.
Production
−40%quantified impact - 21 Jan 2019AgricultureIndia
AI sensors and Azure boost Indian crop yields and democratize healthcare
United Phosphorus Ltd · Agriculture optimization · Microsoft
Microsoft India and partners deployed AI-powered solutions to address challenges in agriculture and healthcare across India. Collaborating with United Phosphorus Ltd, Escorts, and ICRISAT, Microsoft used cloud-connected AI sensors, the Cortana Intelligence Suite, Power BI, and Azure platforms to enable precision agriculture for smallholder farmers. The AI Sowing app delivers sowing date advisories and pest alerts to farmers' feature phones via SMS and voice calls, helping optimize yields with no hardware investment., In healthcare, Microsoft built an AI-powered heart disease risk score API with Apollo Hospitals, using Indian-specific cardiovascular data. Power BI and Kaizala enable real-time health record analysis and operational insights for hospital partners, supporting early diagnoses and improved patient care. Additional partnerships with SRL Diagnostics and Narayana Health expanded AI efforts to cancer detection and electronic records management. The initiative demonstrates the scalability and impact of AI in delivering both agricultural and health outcomes in rural India.
Production
- 17 Dec 2017AgricultureIndia
Indian farmers increase crop yields and forecasting using advanced AI advisories
ICRISAT · Agriculture optimization · Microsoft
ICRISAT, in partnership with Microsoft, enabled thousands of smallholder farmers in India to boost crop yields and manage market risk using a cloud-based AI solution. The AI-Sowing App, powered by Cortana Intelligence Suite and Azure, uses 30 years of climatic and satellite data, along with machine learning, to predict optimal sowing times and warn about weather and pest risks. Farmers receive personalized advisories via SMS and automated voice calls—no need for sensors or capital investments—helping them decide when and what to plant, and reduce input costs. The system includes a commodity price forecasting model, giving governments and farmers advanced insights into future pricing trends for crops such as tur, supporting smarter market planning. The initiative was deployed in Andhra Pradesh, Karnataka, Maharashtra, and Telangana, reaching thousands of farmers and improving the sustainability and economic resilience of rural communities. The application exemplifies how scalable AI models driven by satellite imagery and big data can significantly enhance national food security and agricultural outcomes.
Production
What it builds
Agriculture optimization is the most common pattern in these deployments: 3.
Cloud providers named
Microsoft is named in 3 of these deployments.
- Microsoft100% of these3