{"id":1142735,"date":"2026-06-12T13:47:59","date_gmt":"2026-06-12T11:47:59","guid":{"rendered":"https:\/\/eurecat.org\/portfolio-items\/bridge-ai\/"},"modified":"2026-06-15T16:30:27","modified_gmt":"2026-06-15T14:30:27","slug":"bridge-ai","status":"publish","type":"avada_portfolio","link":"https:\/\/eurecat.org\/en\/portfolio-items\/bridge-ai\/","title":{"rendered":"Bridge-AI"},"content":{"rendered":"

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Improve sustainability and agricultural decision-making in Africa through artificial intelligence.<\/strong><\/p>\n

The BRIDGE-AI project aims to improve agricultural decision-making and digital training in African rural areas through the integration of solutions based on Generative Artificial Intelligence (GenAI).<\/strong> Through the combined use of satellite data, field sensors, AI models and intuitive mobile interfaces, the project offers tools adapted to the local needs of Kenya, Tunisia and Nigeria.<\/strong> This combination facilitates more efficient, sustainable and accessible agriculture.<\/p>\n

BRIDGE-AI\u2019s research focuses on addressing challenges such as water scarcity, soil degradation and the impacts of climate change<\/strong>, while promoting social inclusion and strengthening the role of women in the agricultural and technological sector.<\/strong> Through \u201cLiving Labs\u201d, the project is committed to the co-design of solutions with local communities. This helps to integrate social, economic and cultural factors and boost the development of digital skills to ensure their adoption and long-term impact.<\/p>\n

To validate this proposal, BRIDGE-AI is developed through several case studies focused on the cultivation of mushrooms, corn, pastures and pomegranates, in different African pilot regions.<\/strong> These tests allow to demonstrate the effectiveness of the solutions in real contexts and facilitate that they can be replicated in other territories.<\/p>\n

BRIDGE-AI is a project coordinated by Eurecat through its Applied Artificial Intelligence Unit<\/strong>, leading the development of the system and digital tools. Within this framework, Eurecat will develop a GenAI orchestrator, as well as tools to monitor primary production and a RAG system based on linked data, which will allow to generate personalized recommendations for African farmers.<\/p>\n

European and African entities from five countries – Spain, Kenya, Tunisia, Nigeria and Austria<\/strong> – are part of the consortium, including Eurecat, the Polytechnic University of Madrid, Seamless Middleware Technologies, Jomo Kenyatta University, University of Sousse, MOOME, Agroinfotech Labs Limited and Austria Card, which work together to promote the transfer of knowledge and the continuity of results.<\/p>\n<\/div>

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General data<\/h3><\/span>
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Project\u00a0<\/strong><\/p>\n

BRIDGE-AI \u2013 Promote resilient development through generative AI in agriculture education.<\/p>\n

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Project reference\u00a0<\/strong><\/p>\n

101299050<\/p>\n<\/div>

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Program and call\u00a0<\/strong><\/p>\n

This project has received funding from the European Union\u2019s Horizon Europe research and innovation programme under grant agreement number 101299050.<\/p>\n

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Related SDG<\/strong><\/p>\n

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<\/i><\/i><\/span>SDG. 2. Zero hunger<\/span><\/a><\/h4><\/div>
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It contributes to improving agricultural productivity and sustainability through data-based decision-making tools and GenAI. This promotes food security in African rural areas.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>SDG 5. Gender equality<\/span><\/a><\/h4><\/div>
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It promotes the participation of women in the agricultural and technological sector. This strengthens their role in decision making and facilitates access to digital skills and new opportunities.<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>SDG 8. Decent Work and Economic Growth<\/span><\/a><\/h4><\/div>
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It promotes local economic development through agricultural innovation and digital training through fostering new business models and job opportunities in rural environments.<\/div>\n<\/div>\n<\/div>\n
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<\/i><\/i><\/span>SDG 13. Climate Action<\/span><\/a><\/h4><\/div>
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It supports adaptation to climate change and addresses challenges such as drought, soil degradation and agricultural vulnerability, through data-based solutions and prediction.<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>
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