The Agri-Stack
The Context
The Agri-Stack is a visionary digital agriculture initiative by the Government of India. This comprehensive ecosystem includes databases, registries, frameworks, standards, data schemas, APIs, and IT systems, meticulously designed to open up agricultural data through interoperable systems. By leveraging these integrated resources, Agri Stack aims to revolutionize agricultural processes, enhance productivity, foster sustainability, and empower stakeholders with advanced decision-making capabilities throughout the agricultural value chain. Agri Stack is built on open standards and features a federated architecture, ensuring inclusivity and participation from specialized line Ministries, state governments, and private Agri-tech players. This collaborative approach fosters evolution within the agriculture sector.
Agri Stack includes Farmer Registries, Geo-referenced Village Maps, Crop Sown Registry, Unified Farmer Service Interface (UFSI), Agri Stack Sandbox, Consent Manager, Agri Data Exchange, Agri Stack Website, Reference Applications for States, and support Registries. These components enable seamless data exchange and service delivery. Agri Stack prioritizes data privacy, adhering to the principles of Data Empowerment and Protection Architectures. Agri Stack enables numerous use-cases aimed at empowering farmers and enhancing agricultural productivity.
Objectives
- To create a presence-less layer for quick identification and authentication of the farmers.
- To lower the cost and risk of agricultural services for farmers and agri-credit, finance, inputs, and other service providers.
Activities
- Enabling easier scheme convergence between agri-allied Ministries and State Governments. This generates high-quality data, which helps agri tech focused companies and start- ups to innovate.
Key Pre-requisites
- Robust digital infrastructure, including reliable internet connectivity of 2 Mbps speed, especially in rural areas
- Establishment of comprehensive databases and registries (Farmer Registries, Crop Sown Registries, Geo-referenced Village Maps)
- Development of standardized data schemas and frameworks to ensure interoperability
- Integration of open-source technologies and APIs for seamless data exchange
- Implementation of robust data privacy and protection measures, ensuring collection with purpose limitation and explicit consent.
