Regional Technical Platform on Green Agriculture

Smart Farming for Resilience: Empowering Rwandan Farmers through Data-Driven Innovation

Introduction To equip African smallholder farmers—especially in Rwanda—with the tools, knowledge, and support needed to become climate-resilient, improve agricultural productivity, and achieve financial growth through sustainable, data-driven decision-making.
Country Rwanda
Start date
Status Ongoing
Objective / Goal

To equip African smallholder farmers—especially in Rwanda—with the tools, knowledge, and support needed to become climate-resilient, improve agricultural productivity, and achieve financial growth through sustainable, data-driven decision-making.

Beneficiaries
  • Smallholder farmers and cooperatives
  • Women and youth engaged in agriculture
  • Agricultural extension officers
  • Local communities and agribusinesses
  • Government agencies and development stakeholders
Activities
  • Deployment of IoT and AI Solutions: Design and implementation of Internet of Things (IoT) and Artificial Intelligence (AI) tools that enable real-time monitoring of soil health, crop conditions, and environmental factors.
  • AI-Powered Disease Detection: Use of AI and satellite imagery to detect and diagnose plant diseases early, allowing farmers to take preventive action and reduce crop losses.
  • Farmer Training and Capacity Building: Organization of workshops and training sessions focused on digital agriculture, sustainable farm management, and climate adaptation strategies.
  • Strategic Partnerships: Collaboration with local and international institutions including GIZ Rwanda and the Rwanda Agriculture Board (RAB) to scale impact and support implementation.
  • Digital Resource Management Tools: Provision of digital platforms that help farmers manage inputs, finances, and operations more efficiently.
  • Market Access and Advocacy: Facilitation of access to fair markets through digital platforms, and engagement with policymakers to promote the adoption of green, digital agriculture.
Impact
  • Improved Efficiency and Profitability: Precision agriculture techniques have reduced input waste, lowered production costs, and boosted crop yields—translating into higher incomes for farmers.
  • Enhanced Environmental Sustainability: Adoption of smart farming methods has led to improved soil health and reduced environmental impact.
  • Community Empowerment: Over 500 rural farmers—including approximately 40% women—have been empowered through training and technology.
  • Collaborative Networks: Creation of a multi-stakeholder support ecosystem involving cooperatives, government bodies, and private sector partners to drive long-term transformation.
  • Scalable Model: Faminga continues to bridge the gap between traditional farming and digital innovation, positioning itself as a scalable model for sustainable agriculture in Africa.
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Tags AI for good climate adaptation climate smart agriculture gender rural development Rwanda science-based approach