The Challenge
India’s agricultural certification ecosystem is constrained by paper-based systems, low rural internet penetration, and severe linguistic diversity that systematically exclude smallholder farmers from premium markets and subsidies. Without accessible digital solutions tailored to low-literacy communities, marginalized growers remain cut off from official verification and economic advancement. AgriAI Collect bridges this digital divide by leveraging voice-driven technology to make standardized, verifiable farm certification simple, inclusive, and scalable across language barriers.
Our AI Solution
Agri AI Collect is a mobile, AI-enabled data collection platform that digitizes farm-level information using speech-to-text, text-to-speech, translation, and supervisor verification, giving organizations faster, cleaner, and more inclusive datasets.
Built for real-world field conditions, the application works in low-connectivity rural regions and syncs automatically once online, reducing workload and ensuring no farmer is excluded due to documentation, literacy, or language barriers.
How it works
01
Data capture in local languages
Data capture in local languages: an automatic speech recognition (ASR) pipeline transcribes farmer speech currently across to multiple Indian languages into standardized, structured entries.
Data capture in local languages
Data capture in local languages: an automatic speech recognition (ASR) pipeline transcribes farmer speech currently across to multiple Indian languages into standardized, structured entries.
02
Smart form population
the app auto-fills structured fields with the required information.
Smart form population
the app auto-fills structured fields with the required information.
03
Supervisor validation
a built-in workflow lets supervisors review, approve, or correct entries, creating human-verified datasets.
Supervisor validation
a built-in workflow lets supervisors review, approve, or correct entries, creating human-verified datasets.
04
Real-time dashboards
administrators track enrollments, coverage, gaps, and field operations at village, block, and district level.
Real-time dashboards
administrators track enrollments, coverage, gaps, and field operations at village, block, and district level.
05
Integration & reporting
clean datasets feed into agriculture MIS systems through secure data pipelines that support planning, audits, and service delivery.
Integration & reporting
clean datasets feed into agriculture MIS systems through secure data pipelines that support planning, audits, and service delivery.
Where It's Deployed
Deployed through partnerships in Madhya Pradesh, Maharashtra, Rajasthan, Punjab
Impact
The platform delivers gains across four dimensions: equity & inclusion (reaching farmers who previously struggled with literacy, documentation, or language barriers), operational efficiency (reducing manual data-entry time for frontline staff), actionable insights (real-time dashboards improving program responsiveness), and scalable infrastructure (designed to expand across crops, schemes, states, and institutions).
Our Other Solutions
Looking Ahead
Agri AI Collect is being shaped into a digital public infrastructure component for agricultural data collection. Wadhwani AI's roadmap includes support for additional languages, integration with program management and scheme delivery, automated anomaly detection, farmer self-service modules, and an API layer for cross-department data exchange.