The DODILog tested technologies´ high spectral resolution and non-destructive quantitative analysis of chemical/physical attributes and defects and/or contamination/infestation presence can be used not only to detect hazards, mitigate their consequences or eliminate the risk.
In addition, the innovative applications, that have the potential to be integrated into management systems already in use, can also help determine the most suitable storage duration for various crops´ species and varieties based on, e.g. maturity stages, moisture contents etc,.This can further aid decision-making in such processes as sorting, storing, culling (separation between marketable and non marketable lots) and pricing.
The DODILog proposed "Business Model for crop quality optimization and valorisation" will therefore:
- exploit the pilots´ real-time data on crop quality and conditions (e.g. free of insects/insect fragments, mold or other damage, mycotoxins, level of loss of quality, nutritional and economic values); and
- produce specifications for assessing internal parameters, defects, and spoilage level.
The activity will allow to demonstrate that the uptake of more precise detection and control applications can also enhance the subsequent processes of sorting, classification, grading, packing and follow up measures, thus benefiting the post-storage phases toward market distribution and secondary processes.
The model will be designed by a multidisciplinary team composed of experts of VIVES, INAGRO and Circoe. This will form the basis of different working groups being established to address specific tasks and challenges. These working groups will ensure the exchange of knowledge, resources and best practices among the participating partners:
- Working group 1: IOT working group will focus on real-time data collection, processing, and analysis, which is critical for the dynamic needs of the DODILOG project, but also on managing large volumes of data generated by IoT devices, the efficient processing of data from sensors and other source and storage.
- Working group 2: Crop optimization working group will focus on supporting the secondary processes within the project. Secondary processes are those that do not directly contribute to the primary goals but are necessary for the efficient functioning of the main activities in the project.
- Working group 3: logistics optimisation.
Upon completion of the activities, a comprehensive report will be compiled, containing the key findings and recommendations. This report will be widely disseminated through a structured dissemination strategy, targeting stakeholders, policymakers, and relevant organizations in the involved countries.
The model will have to take into consideration the regional and crop specificities and will thus require the participation of all PP professional experts.