Key Highlights
- Launch of SMART-CROP: a 3‑year effort to empower over 8,000 farmers in Telangana and Karnataka.
- Integration of satellite imagery, remote sensing, and AI/ML for real‑time crop surveillance.
- Primary focus on pulse crops, specifically pigeon pea and chickpea, to curb the annual 40% loss caused by pests and diseases.
- Proactive alerts and training enable preventive action, improving yields and safeguarding income.
Detailed Insights
The SMART‑CROP project is a partnership between ICRISAT, UAS‑Raichur, and Agribridge, backed by the SBI Foundation’s LEAP programme.
By harnessing advanced imaging and machine learning algorithms, farmers can detect stress signals—nutrient deficiency, pest pressure, or climatic shocks—well before visible damage sets in.
Real‑time weather‑based forecasting informs farmers about impending droughts, excessive rainfall, or temperature spikes, allowing timely irrigation or protective measures.
Through data‑driven decision‑making, the initiative enhances soil health, promotes sustainable inputs, and reduces the environmental footprint of smallholder farms.
In addition, the program provides hands‑on training and digital dashboards so that producers can interpret data and implement best practices without specialist expertise.
Key Concepts
- Smart Monitoring: Continuous observation of crop conditions using satellite and sensor data coupled with AI analytics.
- Climate‑smart Agriculture: Farming practices that adapt to changing climatic patterns while maintaining productivity.
- Pulse Cultivation: Growing leguminous crops like pigeon pea and chickpea that are nutrient‑dense and essential for semi‑arid regions.