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PROJECT AIM

The DODILog project aims to enhance agri-food logistics by integrating advanced technologies for early risk detection and quality preservation of potatoes and cereals. It supports storage facilities in adopting innovative solutions, fostering transnational cooperation, and ensuring sustainability across North-West Europe.

PROJECT RESULTS:

  • At least 60 organisations (storage facilities operators; cargo owners/movers/keepers; scientific partners; technology/infrastructure providers) boosting their innovation potential and knowledge on advanced technologies for the monitoring & preservation of potatoes/cereals by experimenting the DODILog technological applications and/or being involved in the sharing of the tested technologies/processes.
  • 6 technological applications on early risk detection & quality preservation control and 1 Business Model for crop & storage optimisation
  • 3 training schemes
  • 1 evidence-based Strategy for innovation change in the storage practices of potatoes and cereals

PROJECT START+END:

01/01/2025-31/12/2027

PARTNERS NUMBERS AND ORIGIN:

11 partners from 4 North West Europe Countries (NL, DE, BE, FR) + 3 Associated Organisations

Innovation Within the DODILog Project

As part of the DODILog project, Javelot is working in close collaboration with both end users — namely grain storage organisations (110 Bourgogne and a german partner) — and research institutions (Arvalis). This collaborative approach ensures the scientific rigor required for the development and validation of new technologies, while also guaranteeing their alignment with real-world operational needs and constraints. In response to clearly identified needs expressed by both French and international partners, Javelot is expanding its platform with two key innovations:

1. Integration of Cooling Units into the Javelot Platform
In addition to fans, many of Javelot’s partners deploy cooling units to lower grain temperatures. Integrating these systems into the Javelot platform is intended to:
  • Reduce energy consumption during cooling operations
  • Optimize temperature control to better preserve grain quality
  • Minimize insecticide use through more targeted and effective cooling strategies
2. Incorporation of Outdoor Relative Humidity into Ventilation Automation
Until now, automated ventilation has primarily relied on temperature data. By incorporating outdoor relative humidity into our decision-making models, we aim to:
  • Increase the overall efficiency of ventilation sessions
  • Prevent unwanted increases in grain moisture content
  • Enhance preservation of grain quality over time
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