Leveraging long-term field experiments and other datasets to develop AI-ready decision support systems for sustainable soil management

investigación innovación I+D+i desarrollo tecnológico europeo. HORIZON Innovation Actions Expected Outcome: Activities under this topic will help progress towards the objectives and targets of the Mission Soil and the EU Soil Strategy for 2030 . Activities should also contribute to the implementation of the Soil Monitoring and Resilience Directive after its adoption. Project results are expected to contribute to all the following expected outcomes: enhanced adoption of impactful sustainable soil management solutions and strategies supported by AI-powered decision support systems by land managers; harmonised, standard, robust, interoperable and accessible methods, protocols and logical architecture for long-term field experiments (LTEs) data collection and integration (including with other datasets) are in place; scientists, policymakers, and land managers gain enhanced access to comprehensive, high-quality soil data, enabling better research, informed decision-making, and effective land management practices. Scope: Long-term field experiments (LTEs) can be defined as “agricultural experiments for monitoring soil and crop properties under changing climate conditions and different management with a minimum duration of 20 years” [1] , [2] . LTEs are typically owned or mana