“Navigating the Government Connect: Unlock Grants, Subsidies, Policy Alignment & Zero-Cost Growth Opportunities”
Budget 2025-26: MINISTRY OF AGRICULTURE AND FARMERS WELFARE; DEMAND NO. 1; Department of Agriculture and Farmers Welfare…
Digital Agriculture Mission
OUTPUTS: 1.Creation of Farmer ID which is dynamically linked with the Farm Land and Crop Sown
1.1 Number of Farmer ID created (Cumulative) (in Cr) - - 9
2.Digital Crop Survey
1.2 Crop sown RegistryTarget not amenable -22
OUTCOMES: 1.Hassle free services and scheme benefit to the farmers in transparent manner
1.1 Services/Scheme linked with Registry such as Credit, Insurance, Procurement etc. (Per quarter)-1
2.Centre/State will use Digital Crop Survey based Crop Area instead
of Manual Girdawari System
2.1 Robust Crop Area Estimation (States)- 8
Digital Agriculture Mission: Startup Opportunity Mapping
Key Theme: Tech-driven transparency in farm services via Farmer ID & Digital Crop Survey.
1. Data Snapshot (Current Progress)
Metric Target Achievement Gap
Farmer IDs created (Cumulative) N/A (Scalability focus) 9 Cr –
Crop Sown Registry (Digital Survey) Target not set 22 (units?) –
Services linked (Credit/Insurance) Per-quarter scalability 1 (low) High gap
States using Digital Crop Area Adoption push 8 20+ states left
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2. Startup Opportunities
A. Farmer ID Ecosystem
• Problem: Low linkage of Farmer IDs to credit/insurance (only 1 service reported).
• Solution: Build API-driven platforms to integrate:
o Bank loans (e.g., pre-approved Kisan Credit Cards).
o Insurance under PM Fasal Bima Yojana (automated claims via satellite data).
o Startup Example: AgriStack-as-a-Service for states/NBFCs.
B. Digital Crop Survey Tools
• Problem: Only 8 states use digital surveys; manual "Girdawari" still dominates.
• Solution:
o AI-powered image analytics (drones/satellite) for real-time crop area estimation.
o Blockchain for tamper-proof land/crop records.
o Startup Example: GeoAI for Girdawari – SaaS for state agriculture departments.
C. Dynamic Land-Crop Registry
• Problem: Disconnect between Farmer ID, land, and crop data.
• Solution:
o IoT soil sensors + farmer app to auto-update crop sown data.
o Incentivize farmers via subsidy alerts (e.g., DBT for seed purchases).
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3. Challenges & Mitigation
Challenge Startup Fix
Low adoption of digital surveys Gamification (e.g., reward farmers for data accuracy).
Fragmented state-level data Interoperable APIs for central-state sync (MoU-driven).
Illiteracy in rural areas Vernacular voice-based apps (e.g., ChatGPT for farmers).
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4. Funding & Go-To-Market
• Schemes to Leverage:
o PM-KISAN (Direct Benefit Transfer integration).
o Agri-Infra Fund (₹1 lakh Cr for tech solutions).
• Pilot Pathway: Partner with NABARD for FPO-driven trials in Maharashtra/Punjab.
