What challenges did Digital Green face before AI implementation?

Millions of smallholder farmers in India face low productivity and poor access to tailored agricultural advisory. Traditional practices lead to inefficient use of resources such as water and fertilizer. Real-time data is often unavailable or unused in rural settings, limiting informed decision making. There is a language and digital literacy barrier in rural populations. Agricultural sector needed scalable, inclusive digital transformation to support food security and rural livelihoods.

What was the impact of the AI solution?

Boosted yields by up to 21% for participating farmers. Reduced water and fertilizer usage by 15-20%. Hundreds of thousands of rural farmers adopted AI-driven best practices. Early adopters report measurable efficiency and profitability increases. Thousands benefited from scalable AI education programs, especially from tier II/III regions.

Rank#2,110of 3,449

Source

MicrosoftExpandedScaled productionEvidence: Medium50/100

Digital Green empowers Indian farmers with data-driven agriculture

Use case typeAgriculture optimizationUpdated Jun 13, 2026

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.

Organization: Digital Green
Industry: Agriculture
Location: India
Published: October 2024

Reported outcomes

15-20%

quantified impactSustainability & resources

+21%quantified impact

Strategic outcomes

New product / capabilityDelivered AI-driven personalized advisoryNew product / capabilityDeployed sensor- and drone-based crop managementCustomer experience & trustMade advisory accessible in local languagesEcosystem & partnershipsIntegrated with national digital infrastructure

Catalog median for sustainability & resources deployments: −25% across 23 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 21% increase

The AI TrackOct 28, 2024UnknownInferred claimMedium evidence strength

Boosted yields by up to 21% for participating farmers.

Normalized claim

Quantified impact: 15-20% decrease

The AI TrackOct 28, 2024UnknownInferred claimMedium evidence strength

Reduced water and fertilizer usage by 15-20%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Digital Green
Provider: Microsoft
Maturity: Scaled Production
Linked source: The AI Track

The initiative forms part of a broader national strategy, integrating AI throughout India's agriculture, fostering digital transformation at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI-powered personalized advisory for smallholder farmers
2IoT-enabled predictive crop management
3Scaling sustainable agriculture with AI

Millions of smallholder farmers in India face low productivity and poor access to tailored agricultural advisory.
Traditional practices lead to inefficient use of resources such as water and fertilizer.
Real-time data is often unavailable or unused in rural settings, limiting informed decision making.
There is a language and digital literacy barrier in rural populations.
Agricultural sector needed scalable, inclusive digital transformation to support food security and rural livelihoods.

Partnered Digital Green and Microsoft to implement AI-driven personalized advisory on the Azure AI platform.
Deployed IoT sensors, AI-powered drones, and predictive analytics for crop management and pest detection.
Leveraged local languages and mobile tools to ensure advisory relevance and accessibility to rural farmers.
Integrated efforts with national Digital Public Infrastructure and ethical AI governance frameworks.
Launched training programs to upskill millions on AI and digital agriculture.

Technologies

Azure AI

Boosted yields by up to 21% for participating farmers.
Reduced water and fertilizer usage by 15-20%.
Hundreds of thousands of rural farmers adopted AI-driven best practices.
Early adopters report measurable efficiency and profitability increases.
Thousands benefited from scalable AI education programs, especially from tier II/III regions.

Sources & evidence1

Evidence: Medium50/100Evidence strength