AI Services for Government | Advisory, Development & Capacity Building

Agriculture

AI-driven tools that support farmers, improve productivity, and enable data-driven national agricultural planning.

What we do

WAIG applies AI to strengthen agricultural systems by supporting farmers, improving productivity, and enabling data-driven national planning. Our work bridges farm-level decision-making with system-level intelligence to enhance resilience, sustainability, along with economic and food security.

Current Programs & Offerings

Farmer Advisory & Support

AI-powered advisory tools that deliver localised, real-time guidance to smallholder farmers - from optimal planting windows and pest alerts to input recommendations and market price intelligence - accessible via mobile devices in local languages.

National-Level Agricultural Planning & Management

Predictive analytics platforms that help agriculture ministries forecast crop yields, monitor food security indicators, optimise subsidy distribution, and plan procurement - transforming national agricultural policy from reactive to anticipatory.

How We Deliver

From Field to Policy: How We Deliver Agriculture AI

Our agriculture AI solutions are designed for real-world farming conditions – not controlled experimental plots. We co-develop with agriculture ministries and extension services, integrate with existing farmer registries and market information systems, and build local capacity to sustain deployment beyond the project lifecycle.

Co-design with agriculture ministries

to align tools with national food security priorities, crop calendars, and extension workflows.

Pilot in farming communities

with smallholder farmers, extension officers, and district agriculture teams across diverse agro-ecological zones.

Iterate based on field evidence

refining models for local crop varieties, soil conditions, weather patterns, and market dynamics.

Scale through government systems

embedding AI into existing agricultural management information systems, extension networks, and subsidy platforms.

Who we Serve

AI for Agriculture Across Every Level of the System

Ministers of Agriculture & National Directorates

AI strategy design for agriculture, national food security dashboards, and policy frameworks for responsible AgriTech deployment

District Agriculture Officers & Extension Services

AI-assisted crop monitoring, yield forecasting tools, and farmer advisory platforms for field-level decision support

Smallholder Farmers & Farmer Cooperatives

Mobile-first advisory tools delivering localised planting guidance, pest/disease alerts, weather forecasts, and market price intelligence in local languages

Agribusinesses & Supply Chain Partners

AI-driven supply chain optimisation, quality grading tools, and traceability systems for improved market access

International Donors & Multilaterals

Evidence-based impact reporting, co-investment frameworks, and scalable programme design for agriculture AI

Why it matters

The Case for AI in Education

Who we Serve

Smallholder farms account for 84% of the world's 600+ million farms and produce roughly one-third of global food - yet most operate without access to precision agriculture technologies. Source: CSIS, 2025 AI-driven yield increases of 12% to 45% have been documented across Sub-Saharan Africa and South Asia, with input cost reductions of up to 25%. Source: Springer Nature / Discover Agriculture, 2026 In Nigeria, farmers using AI-informed advisories produced 20–30% higher yields and were less vulnerable to extreme weather events. Source: Springer Nature, 2026 The global AI in agriculture market is projected to reach $8.23 billion by 2030, growing at a CAGR of 25%. Source: Global Market Analysis Report, 2026 28% of the global population - 2.3 billion people - were moderately or severely food insecure in 2024, underscoring the urgency of AI-enabled productivity gains. Source: CSIS / FAO, 2025

Sub-Saharan Africa accounts for 70% of global maternal deaths - the majority of which are preventable with timely detection and care. (Source: Frontiers in Global Women's Health, 2025).

The OECD identifies workforce readiness as the single biggest barrier to responsible Al adoption in public institutions.

Responsible, locally-led AI solutions are demonstrating measurable impact across the Global South - from mosquito classification in Ghana to prenatal depression detection in Bangladesh. (Source: Johns Hopkins Center for Global Digital Health Innovation, 2025)

Resources on AI in Agriculture

Real-world insights, lessons, and breakthroughs from our work deploying AI tools across agricultural systems in the Global South.

How AI-Powered Advisory Tools Are Reaching Smallholder Farmers at the Last Mile

Discover how mobile-first AI advisory platforms are delivering localised crop guidance, pest alerts, and market intelligence to farmers who previously had no access to extension services

From Forecast to Field: How Predictive Analytics Are Transforming National Food Security Planning

A look at how AI-driven yield forecasting and food security monitoring are helping agriculture ministries move from crisis response to proactive planning.

Building Climate-Resilient Agriculture: AI Tools for Adaptation and Sustainability

Explore how AI is helping farming communities adapt to climate variability – from drought-resistant planting recommendations to early warning systems for extreme weather events.

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Explore how AI-assisted diagnostic tools are reducing teacher workload while improving the quality of instruction – from personalised lesson plans to automated formative assessments.

Explore Our Focus Areas

Partner with us to deploy AI agriculture solutions that reach every farmer - improving productivity, building resilience, and securing food systems at scale.