About BRIDGE-AI
Building ResIlient Development with
GEnerative AI in Education & Agriculture
A Horizon Europe Research and Innovation Action improving African rural societies by integrating GenAI-based solutions into agricultural optimisation and digital skills acquisition.
Building a Climate-Resilient Future
BRIDGE-AI is a European project that aims to help farmers in Africa make better decisions by using advanced digital tools based on artificial intelligence (AI).
The project focuses on rural areas in Nigeria, Kenya and Tunisia, where agriculture is essential for people's livelihoods, but is increasingly affected by climate change, water scarcity and soil degradation.
At the same time, access to digital tools, data and technical support is often limited. This makes it difficult for farmers to plan their activities and respond to challenges.
BRIDGE-AI develops tools that combine satellite data, weather information, and field measurements with artificial intelligence. These tools provide farmers with practical advice to help them manage their crops more effectively and sustainably presented in a simple and understandable way.
Why it matters: Farmers get practical guidance on when to plant or harvest, how to detect problems early, how to adapt to changing weather, and how to use water more efficiently.
Our Impact
BRIDGE-AI is transforming agriculture across Africa through six key pillars
Europe-Africa Partnership
A strong collaboration between European and African partners to deliver real impact for farmers across the continent.
Better Decision Making
Digital tools that transform complex environmental data into practical recommendations for everyday farming activities.
Climate-Smart Agriculture
Helping farmers respond to drought, changing weather patterns and water scarcity with sustainable and resilient practices.
Accessible AI
Using Generative Artificial Intelligence to make advanced technologies easier to understand and use in rural communities.
Working Together
Farmers, researchers, cooperatives, SMEs and public authorities co-design solutions through Living Labs in three countries.
Building Skills for the Future
Training, workshops and educational resources to strengthen digital skills and support adoption of innovative technologies.
Our Objectives
BRIDGE-AI works toward six primary objectives across research, capacity building, and replication
Technology Demonstration
Deploy and validate GenAI-enhanced solutions across three African countries with documented performance data.
Farmer Empowerment
Equip farmers with smart farming capabilities through accessible digital tools and practical recommendations.
Youth & Women Inclusion
Actively engage youth and women through targeted training, mentoring, and leadership pathways in agritech.
Knowledge Transfer
Deliver modular training, bootcamps, SME mentoring, and replication resources across East and West Africa.
Research & Evidence
Document pilot outcomes, lessons learned, and best practices for reporting to Horizon Europe and the public.
Scalability & Replication
Develop replication playbooks and toolkits for adoption across Africa beyond the pilot regions.
Countries & Use Cases
BRIDGE-AI works in three African countries with four agricultural use cases
Maize Production
NigeriaMaize is a key crop for food security and livelihoods in Nigeria. BRIDGE-AI helps farmers better anticipate climate conditions and make informed decisions about planting, harvesting and crop management.
Digital Shadows
Smart Mushroom Cultivation
KenyaMushroom cultivation requires carefully controlled growing conditions. BRIDGE-AI develops tools that help farmers monitor their production environment and optimise growing conditions. The pilot also promotes the involvement of young people and women in digital agriculture.
IoT + GenAI
Pasture Management
TunisiaPasturelands are essential for many farming communities. This pilot combines environmental information and digital tools to help farmers better understand pasture growth and make informed grazing decisions.
Earth Observation
Pomegranate Cultivation
TunisiaPomegranate growers face increasing challenges related to water availability and changing climate conditions. BRIDGE-AI provides tailored recommendations to improve irrigation, crop management and harvest planning.
Earth ObservationHow It Works
BRIDGE-AI combines multiple cutting-edge technologies to deliver practical solutions
Generative AI (GenAI)
AI models predict yields, detect anomalies, and provide decision support for farmers and agronomists. GenAI makes advanced technologies easier to understand and use.
Internet of Things (IoT)
Real-time monitoring of temperature, humidity, CO₂, light, and substrate moisture using low-power sensors. Data is transmitted wirelessly for continuous analysis.
Digital Shadows
Virtual replicas of physical systems for "what-if" scenario testing, yield forecasting, and training simulation — without risking real crops.
Earth Observation (EO)
Satellite data integration for monitoring crop health, weather patterns, and environmental conditions. Helps farmers understand their environment better.
Semantic Interoperability (FIWARE/NGSI-LD)
Using open standards for seamless data exchange between systems and platforms, ensuring different technologies work together smoothly.
Low-Bandwidth Advisory
Voice alerts and SMS-based advisory in local languages (Swahili, French, Arabic) for farmers with limited connectivity. Simple, accessible, and practical.
Project Timeline
BRIDGE-AI follows a structured six-phase approach from research to impact
Understanding Local Needs
The project starts by working directly with farmers, cooperatives and local communities in Nigeria, Kenya and Tunisia to better understand their needs, challenges and priorities.
Developing Digital Solutions
Combining satellite imagery, weather information, field sensors and artificial intelligence to create digital tools that help farmers make informed decisions.
Real-World Validation
The tools are tested in real agricultural environments through four pilot cases focused on maize, mushrooms, pastures and pomegranates across three countries.
Living Labs
Farmers and local stakeholders are actively involved through Living Labs, allowing users to test tools, share feedback and shape solutions that respond to local needs.
Training & Capacity Building
Providing training, workshops and learning opportunities to help farmers, entrepreneurs and local organisations understand and use new digital technologies.
Scalability & Replication
Sharing knowledge and solutions so they can be adopted in other regions and agricultural contexts, contributing to a more sustainable and resilient future for agriculture across Africa.
Our Methodology
BRIDGE-AI combines technology, local knowledge and collaboration to develop practical solutions for agriculture in Africa.
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