AI Impact Summit

Global AI Impact Commons

MahaVISTAAR

India flag

India

Agriculture

High

Implementing Organisation

OpenAgriNet (OAN)

India, Karnataka, Bengaluru

While primary implementation is in India, OAN also has a global network.

Civil Society

Implementing Point of Contact

Kirti Pandey

Mission Director

Contributor of the Impact Story

Carnegie India

Year of implementation

2024

Problem statement

India’s agricultural ecosystem is characterised by fragmented service delivery, siloed digital platforms, and uneven access to timely, localised information. Smallholder farmers, often operating in low-connectivity environments and across multiple regional languages - face barriers arising from limited digital literacy, language diversity, and reliance on informal advisory channels. Existing solutions remain platform-bound and difficult to scale, resulting in duplicated efforts and inconsistent service quality. These structural gaps highlight the need for interoperable digital infrastructure that can enable coordinated, inclusive, and scalable agricultural services.

Impact story details

OpenAgriNet (OAN) is a global, open network initiative, designed using DPI principles, combining open-network architecture, AI-enabled advisory, and institutional integration (e.g., identity, farm registries, schemes, markets) to support interoperable agricultural services. It brings together public digital infrastructure initiatives, governments, technology providers, and philanthropic organisations to build shared protocols, AI-enabled tools, and digital public goods that support agricultural services at scale. OAN is designed as an enabling layer rather than a single platform, allowing multiple implementations across contexts.

AI Technology Used

Machine Learning
Natural Language Processing
Speech Recognition

Generative AI, AI Agents for Information Retrieval and Orchestration, Multilingual Language Models

Key Outcomes

Access

Reach, User Experience

Satisfaction, Efficiency

Productivity, Inclusion

Equity

Narrative Outcome

OpenAgriNet's MahaVISTAAR platform addresses a core challenge in Indian agriculture: fragmented digital services that fail to reach smallholder farmers that operate across diverse languages and low-connectivity environments. The platform has achieved significant scale, supporting dozens of crops and handling over a million farmer queries. Farmers are returning repeatedly to the platform, which suggests the platform has become a reliable and accessible resource rather than a one-off interaction. Moreover, MahaVISTAAR operates as interoperable digital public infrastructure (DPI), working across existing platforms rather than creating another siloed solution. By providing localised information through convenient service delivery formats, the service is meeting farmers where they are, providing a template for how well-designed DPI can break down barriers and ensure agricultural support at scale.

Impact Metrics

No. of Crops Supported

Baseline Value

0

Post-Implementation

OAN supports 50+ crops in Maharashtra

No. of Farmer Queries Supported

Baseline Value

0

Post-Implementation

OAN has supported over 1.5 million farmer queries

No. of Unique Users Reached

Baseline Value

0

Post-Implementation

OAN has reached 321,000 unique users

Positive Feedback Rate

Baseline Value

0

Post-Implementation

OAN receives a positive feedback rate of 97% by users

Implementation Context

Scaled

India (multiple states including Maharashtra, Bihar, Assam, Andhra Pradesh, and Karnataka), with pilots and planned deployments in Ethiopia and exploratory engagements in Rwanda, Nigeria, and Kenya.

Small and marginal farmers across Maharashtra, spanning multiple agro-climatic zones and over 50 crop types. The use case is designed for rural and semi-rural farmers, including those with limited literacy and digital access, and supports multilingual, voice-first interaction in Marathi, Hindi, and Telugu.

Key Partnerships

Government (Ministry of Agriculture & Farmers Welfare, State of Maharashtra), IndiaAI, Bhashini, OpenAI, AI4abharat, NVIDIA, and Philanthropic support from EkStep Foundation

Replicability & Adaptation

High

OAN's replicability has been proven across multiple state deployments in India with additional international pilots underway, using a modular, interoperable architecture that reduces dependence on local platform rebuilding.

Supporting Materials

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.