Digital Green
Digital Green has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries.
Hyperscaler mix
See whether Digital Green's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Digital Green builds AI
Build / Buy / Compose across this company's documented cases
1 of 3 cases classified (33%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−20%
Sustainability & resources
median · 1 metric
+60%
Time & speed
median · 1 metric
Medians of results published in Digital Green cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Digital Green uses across visible cases
AI Agents appears in 2 of 3 indexed cases; 7 named technologies are mentioned, led by Azure AI.
All Use Cases (3)
Digital Green transforms agricultural advisory with multimodal AI agent
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.
Digital Green empowers Indian farmers with data-driven agriculture
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.
Digital Green Transforms Agricultural Advisory for Smallholder Farmers
Digital Green, a nonprofit organization, leverages AI-powered technologies to support small-scale farmers in Kenya and across multiple countries. Their solution, FarmerChat, provides real-time, multilingual agricultural advice through text, video, and voice, enabling farmers to make more informed decisions. The system is accessible via simple phones, significantly reducing the cost and increasing the reach of agricultural extension services. By collaborating with researchers, government agencies, and private sector partners, Digital Green ensures the advice is both scientifically sound and contextually relevant. FarmerChat uses feedback loops for continual improvement and supports millions of farmers, including 43% women. The platform has expanded to regions such as Ethiopia, India, Nigeria, and Brazil, demonstrating scalability. Early findings reveal substantial improvements in farmer incomes and responsiveness to climate challenges, underscoring the transformative impact of AI-powered agricultural advisory in developing regions.