Digital Green
3 documented AI deployments at Digital Green, across 1 industry. Each one links to the public source it was taken from.
digitalgreen.org · WikipediaSource: Wikidata, 2026-11-01
Public AI record
Digital Green has 3 documented public AI cases on the hub, too few for a score. Crop disease detection is common among peers but not yet documented at Digital Green.
A record score appears once Digital Green has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Oct 2024, latest Nov 2025. Cloud providers named: Microsoft, OpenAI.
Compared with peers
Against 11 other agriculture companies on the hub.
What peers document
- Agriculture optimization10 of 11 peers · here too91%
- Agronomic advisory3 of 11 peers · here too27%
- Crop disease detection3 of 11 peers27%
- Crop yield prediction2 of 11 peers18%
Gaps against the industry
- Crop disease detection: 27% of peers, not documented at Digital Green yet
Stack and approach vs peers
- Peer cases name Microsoft 90%, AWS 6%, GCP 2%.
- AI agents: 33% of Digital Green's cases vs 27% for peers.
- Cases from the last 12 months: 33% vs 5% for peers.
Deployments
3 deployments at Digital Green, newest first.
- 18 Nov 2025AgricultureKenya
Digital Green transforms agricultural advisory with multimodal AI agent
Digital Green · Agronomic advisory · Microsoft
Microsoft Research Africa and India, in collaboration with Digital Green, developed Project Gecko to improve the adoption and effectiveness of generative AI for smallholder farmers in India and Kenya. The project addresses significant barriers for farmers, such as language, cultural context, and lack of digital infrastructure. At its core is MMCTAgent, a multimodal AI agent built with Azure AI Foundry, using the VeLLM platform to generate multilingual, culturally relevant content and advice. The agent processes queries via text, voice, or video, and responds with actionable guidance through those same modalities—optimized for low bandwidth and minimal computing resources. The system integrates community-sourced agricultural videos and knowledge provided by Digital Green, allowing the AI to surface advice in the farmer's language, with content referencing the specific steps relevant to their problem. Initial field results confirm improved usability, trust, and farming outcomes over generic AI products. The solution is designed to be extensible to healthcare, education, and retail, reflecting its potential as a blueprint for inclusive, domain-specific, agentic AI applications.
Multi-agent
- 28 Oct 2024AgricultureIndia
Digital Green empowers Indian farmers with data-driven agriculture
Digital Green · Agriculture optimization · Microsoft
Digital Green, a leading agri-tech non-profit, collaborated with Microsoft to leverage AI-driven advisory services for over 263 million smallholder farmers in India. Using the Azure AI platform, they delivered tailored, data-backed guidance to optimize farming practices and boost productivity. The initiative forms part of a broader national strategy, integrating AI throughout India's agriculture, fostering digital transformation at scale. Advanced analytics, IoT-enabled sensors, and drones inform decisions on crop yields, pest management, and resource allocation. The effort also supports India's government aims for inclusive, ethical AI in agriculture, prioritizing local languages and rural relevance. Early results indicate substantial gains in yield and technology adoption among participant farmers. Microsoft commits to training millions in AI skills, with a focus on rural populations and gender equity. The partnership is a core example of public-private collaboration catalyzing sustainable growth in the agriculture sector, underscoring India's ambitions to be a global AI leader.
Scaled Production
- AgricultureKenya
Digital Green's FarmerChat gives smallholder farmers AI advice in their own language
Digital Green · Agronomic advisory · OpenAI
Digital Green runs FarmerChat, an AI assistant built with OpenAI models (including fine-tuned GPT-4o Mini) that answers farmers' questions by voice, text or photo in their own language. Version 2 is live in every country Digital Green serves; FarmerChat reaches more than 2 million farmers across six countries in sixteen languages (Digital Green, July 2026).
Production
↓ $35cost
What it builds
Agronomic advisory is the most common pattern in these deployments: 2.
Cloud providers named
Microsoft is named in 2 of these deployments.
- Microsoft67% of these2
- OpenAI33% of these1