Report on Testing Results of All the FOLOU Innovative Solutions (D3.2)
This report summarizes the testing results of innovative FOLOU solutions for quantifying food loss in vegetable and apple crops. It details data acquisition with tractor cameras and UAV-based RGB imagery, preliminary findings, challenges, and future plans.
Detail description
The deliverable 3.2 provides a comprehensive evaluation of the testing phase for all FOLOU’s innovative solutions designed to quantify on‐farm food losses. It covers two pilot case studies: tractor‐embedded video cameras for monitoring vegetable crop losses and UAV‐based high‐resolution RGB imaging for apple orchards. The report outlines data acquisition strategies, materials, methods, and data preparation procedures, then presents first results regarding field homogeneity, autonomous loss quantification and detection model performance. It discusses key successes, technical bottlenecks, policy recommendations, further steps, and planning to refine and scale the proposed solutions.
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Contribution detail info
- Project
FOLOU
Bringing knowledge and consensus to prevent and reduce FOod LOss at the primary production stage. Understanding, measuring, training and adopting
- Location
- Belgium
- Authors
- Driss En-Nejjary, Wouter Maes
- Purpose
- Monitor (metrics, conditions, progress, performance), Support decision-making and strategic planning, Automate processes and improve planning
- File type
- document
- Created on
- Dec 22, 2025
- Origin language
- English
- Official project website
- FOLOU
- License
- CC BY