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

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 managed by public research institutions.

Long-term field experiments provide valuable information on soil health and sustainable soil management practices and can be considered critical infrastructure for agricultural research. However, LTEs present some limitations or needs to maximize their impact.

• There is a need for standardized methods in collecting and reporting soil data to ensure consistency and comparability across different studies and regions.

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.