WORK PACKAGES
PROJECT MANAGEMENT
AND COORDINATION
WP1 aims at timely and qualitative execution of the project within the set rules, timeline and estimated budget.
Its specific objectives are:
- to ensure successful execution of the activities through appropriate coordination;
- to evaluate the progress, assess the possible risks and take necessary mitigation measures;
- to ensure production of quality results and reporting administrative and scientific deliverables, in compliance with the standard rules and regulations;
- to manage the Intellectual Property Rights;
- to manage and control the project budget, and
- to act as a contact point and liaison between the consortium and the EC.
ON-SITE SENSOR PLATFORMS DEVELOPMENT AND OPTIMISATION
WP2 will focus on the development and validation of 4 different sensor platforms:
- a stationary platform for continuous permanent monitoring of soil and air,
- two mobile platforms (one for soil mapping, one for crop mapping) and
- a platform for remote sensing. In addition, tools for performing a microbiome analysis will be developed.
DATA CAPTURING AND QUALITY ASSURANCE
MODELING
AND
MAPPING
WP4 is dedicated to the establishment of a comprehensive and sophisticated framework for the precise prediction, modelling, and mapping of contaminants in soil and crops. Drawing upon data from sensors, as well as remote sensing information generated and collected in preceding working packages (WP2&3), this endeavour harnesses the power of advanced machine learning algorithms. Furthermore, it is focused on the development of innovative automated mapping solutions. By ardently pursuing this objective, we aspire to realise the potential for accurate, scalable, and timely assessments of contamination levels. Ultimately, these achievements will serve as the cornerstone for the construction of a robust DSS.
DEMONSTRATION
The objective of WP6 is to systematically implement and evaluate the efficacy of the WHEATWATCHER monitoring platforms for soil nutrients and crop responses, alongside chemical and biological stressors, under controlled conditions and real-field environments. This will yield quantifiable data to make actionable management decisions aimed at securing safe agri-food production. Each pilot site leader will provide “external” data and integrate it in the database generated in WPs 4 and 5 (i.e. observations by farmers, local measurement stations, local policies, historical data).