Agriculture   |   Core Project   |   Maharashtra

A secure, interoperable, and consent-based agricultural data exchange platform for Maharashtra’s agriculture ecosystem.

Overview

MahaAgX is a strategic initiative by the Department of Agriculture, Govt. of Maharashtra, designed to catalyze secure data exchange and agricultural innovation. By providing a robust ecosystem of rich agricultural data banks, open-source AI models, and a high-performance Innovation Sandbox featuring GPU and CPU-based compute and integrated development tools, MahaAgX empowers the creation of scalable AI Use Cases. Our mission is to transform raw data into real-world solutions that address the critical challenges of our farmers. This platform stands as a testament to Maharashtra’s commitment to digital leadership, climate-resilient farming, and technology-driven agricultural governance.

Initiative By

Government of Maharashtra
Department of Agriculture
(Government of Maharashtra)

Krishi Vibhag

Nanaji Deshmukh
Krishi Sanjivani Prakalp

Artificial Intelligence and AgriTech Innovation Center.

Partners

World Bank

CDPG
(Center Of Data For Public Good)

IISc

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Objectives

  • Build a trusted, federated Digital Public Infrastructure that lets government departments, institutions, and other data providers share agricultural datasets without losing control over them.
  • Enable farmer-centric, consent-driven data flows that protect privacy while unlocking innovation.
  • Give startups, researchers, and public agencies a common, standards-based way to plug into agricultural data.
  • Provide the evidence base and compute environment for AI-driven agricultural policymaking and innovation.

Key Features

  • Standardised, open APIs for interoperable data exchange across departments and institutions.
  • Consent-based access control with audit trails for every data flow.
  • Sandbox and community layers so startups and researchers can build and test applications.
  • MLOps and analytics infrastructure supporting AI-driven advisory and forecasting.
  • Multiple access modalities: downloads, APIs, and streaming/subscriptions, fit to consumer need from one-off batch access to real-time data.

Use Cases

Weather-variability and early pest-outbreak forecasting for micro-regions, feeding directly into farmer advisories.

Crop-cycle optimisation and precision-irrigation recommendations based on integrated land, soil, and crop data.

AI-powered plant pest & disease detection, linked with the state’s computer-vision diagnostic tools.

Voice- and language-based agri-advisory (e.g., the Bhili tribal-language LLM and MahaVISTAAR voice services) drawing on data served through MahaAgX.

Targeted subsidy allocation and scheme design using aggregated, de-identified farm data for policymakers.

Data / Datasets Available

Land records, crop and cropping-pattern data, market price feeds, weather and satellite data, and datasets from agricultural universities, connected with national systems such as AgriStack. Access is role-based and consent-driven; most raw farmer-level data is not publicly downloadable, but aggregated/derived datasets and APIs are made available to onboarded researchers, startups, and government users.

Our Role

CDPG designed and developed the platform end-to-end, the data exchange layer, onboarding of government and non-government datasets, and the applications/sandbox layer, in partnership with the state and the World Bank.

Impact

Live and launched at AI4Agri 2026; part of a wider MahaAgri-AI ecosystem reaching several million farmers.