Tracking adaptation progress in agriculture and food security using an AI-powered satellite remote sensing platform
Winner of the SFI AI for Societal Good Challenge, the TAPAS project (co-funded by the Department of Foreign Affairs) is combining AI and satellite imagery to measure how agriculture is adapting to climate stress.
The Challenge: Enabling countries to develop evidence-based means of measuring, reporting and verifying climate change adaptation in the agri-food sector.
The Solution: The TAPAS team will develop an AI-based approach that enables the agri-food sector to assess climatic perturbations. The proposed technology will initially focus on characterising climate change in the developing world but will be scalable for implementation globally to support national governments' compliance with the UNFCCC resolutions.
UN SDG Alignment: GOAL 13: Climate Action
Team: Aaron Golden (NUIG), Charles Spillane (NUIG), Andy Jarvis (International Center for Tropical Agriculture)
TAPAS featured as part of the Science to the Rescue online series. Listen to the podcast and watch the webisode: