Technical Description of All FOLOU Innovative Solutions Developed (D3.1)

The document provides a detailed technical overview of innovative sensing solutions developed by the FOLOU project using tractor-embedded video cameras, UAV-based high-resolution RGB imaging, and multispectral and satellite data to quantify food loss across various crops.

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Detaljerad beskrivning

Deliverable 3.1 presents the technical specifications, data acquisition protocols, processing workflows, and preliminary results for four remote sensing approaches designed to assess food loss in vegetable, apple, potato, maize, corn, faba bean, and sunflower crops. It details tractor-embedded video systems for in-field video capture, UAV-based high-resolution RGB surveys, repeated multispectral measurements, and satellite imagery analysis. Each section outlines the challenge, equipment and material, annotation and data augmentation strategies, proposed analytical methods, expected deliverables, current development status, and key successes and challenges encountered, offering a comprehensive guide for future implementation and scaling of these solutions.

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Detaljerad information om bidrag

Projekt

FOLOU

Bringing knowledge and consensus to prevent and reduce FOod LOss at the primary production stage. Understanding, measuring, training and adopting

Plats
Austria, Belgium, Greece, Spain, France, Italy, Norway, United Kingdom
Författarna
Wouter Maes, Driss EN-NEJJARY
Syfte
Adopt innovative practices, Apply ready-to-use practices, Automate processes and improve planning

Filtyp
dokument
Skapad den
27 juni 2024
Ursprungspråk
English
Officiell projektwebbplats
FOLOU
Licens
CC BY