FARMWISE

Description

Climate change has already impacted several sectors, including agriculture and people’s lives, causing severe damage worldwide. Consequently, there is a crucial need for a better decision support system and management solutions and policies for agriculture. The EU-funded FARMWISE project aims to transform the EU’s agriculture sector by providing farmers and decision makers with a revolutionary decision support system using AI, remote sensing, and precision agriculture. Furthermore, the project will collaborate with European organisations to increase knowledge sharing and co-creation, develop novel AI-based tools for improved water monitoring and management, and assist farmers and researchers. Finally, to achieve this, FARMWISE will collaborate with researchers and stakeholders in the sector.

Associate Prof. Amir Naghibi from Smart-Geo-AI, in FARMWISE, leads WP5 “AI-based Visual Decision Support and Policy Modelling in European Landscapes for Agriculture and Water Management”. The Smart-Geo-AI also develops FARMWISE Database, Scientific Interface, and Policy Intervention Systems. The Policy Intervention System plays an important role in decision making at policy and governance level, where water managers and policymakers can simulate the impact of various land use, fertilisers usage, management, and innovation policies on water quality and quantity, as well as water use efficiency.

Dr. Kourosh Ahmadi, developer at Smart-Geo-AI, Lund University, builds and maintains the DSS. He develops the machine-learning models that map water quality in groundwater across Europe, and the data pipelines that turn them into regional statistics for today and future climate scenarios. With the Smart-Geo-AI team, they design and program the web interface, so that results from the models can be read and used by non-specialists.