We are sending a v2 of the document which has just been submitted to the portal. We will do a last submission tomorrow morning, mainly for the last formatting and typo corrections.
For your information, we have put the following abstract on the portal together with these free keywords.
Free keywords: GenAI tools; digital infrastructures; smart agriculture; open data management; start-ups deployment; innovative ecosystem; training; digital inclusion
Abstract (max. 2.000 characters): FarmAI is a Europe-Africa co-construction to design and deploy smart-agriculture solutions that tackle critical African challenges: low productivity, climate and water stress, pest pressure, traceability, limited infrastructure and data scarcity leading to food shortage and malnutrition among its people. The project leverages open GenAI technologies built in Europe (foundational models, toolchains, and reference pipelines) and adapts them to local contexts through multilingual prompts, edge/cloud deployment for low-connectivity settings, and responsible-AI safeguards (data sovereignty, transparency, bias monitoring).
FarmAI mobilises broad, engaged communities from the SLICES-RI and SoBigData-RI, the EU-AU DIGITafrica project, and local living labs. These partners co-design three different use cases (micro-climate irrigation advisory, variable-rate resource-efficient cropping, and livestock value chain management) and run pilots deployed by local start-up companies with monetisation objectives.
To ensure longevity and scale, FarmAI will package its open GenAI building blocks and methodology into a sustained, reusable toolkit (APIs, model/dataset cards, governance templates, MLOps recipes, and deployment blueprints) released under permissive licenses to enable replication by suitable stakeholders across regions.
A strong dissemination and adoption plan spans the full project: capacity-building (training of trainers, open courses), community documentation, collection of user feedback, and policy engagement with EU/AU stakeholders. Expected impact includes measurable gains in agricultural efficiency, enhanced participation in rural communities in Africa and among women, alongside reduced environmental footprint and stronger digital capacity in partner ecosystems.