PHOTONFOOD

The GENERAL objective of the PHOTONFOOD project is to investigate the application of photonic technologies in the agri-food chain to address the great challenges that society faces, such as supplying food to a growing population with an efficient use of resources, reducing losses and waste, improve food quality and safety as well as transparency in the chain and promote the development of technology in this sector to improve its positioning and competitiveness for exports.

PROJECT TITLE: PHOTONFOOD (PHOTONICS APPLICATIONS FOR AGRI-FOOD CHAIN)
COORDINATOR: INCARLOPSA
PARTNERS: 6
START DATE:  1st November 2022
END DATE: 30th June 2025

The GENERAL objective of the PHOTONFOOD

The GENERAL objective of the PHOTONFOOD project is to investigate the application of photonic technologies in the agri-food chain to address the great challenges that society faces, such as supplying food to a growing population with an efficient use of resources, reducing losses and waste, improve food quality and safety as well as transparency in the chain and promote the development of technology in this sector to improve its positioning and competitiveness for exports.

PHOTONFOOD represents the consortium of seven complementary companies from the technology and agri-food sector, NEW INFRARED TECHNOLOGIES, MULTISCAN TECHNOLOGIES, ROBOTNIK, PROPORSEG, INCARLOPSA and TRIANGLE ASSISTANCE SERVICES and PIGCHAMP, united with the purpose of investigating and evaluating the capacity of the most advanced photonic technologies in X-rays, visible, NIR, medium infrared, thermography, and terahertz in the research and development of new innovative systems that allow their subsequent application in industrial environments with a great impact on society.

Within the framework of the project, four key technological challenges for the agricultural and livestock sectors are addressed, which represent a technological challenge with respect to the state of the art of current photonic systems.

Challenge 1 HEALTHINSPEC:

Interpret animal behavior and detect diseases early to improve animal development, reduce mortality and stress in pigs, and monitor animal health.

Challenge 2 QUALIVISIONMEAT:

Guarantee quality control and food safety in meat products.

Challenge 3 AUTORECOLLECT:

Robotize precision harvesting in the field.

Challenge 4 QUALIVISIONFRUIT:

Detect pests early and guarantee the quality of fruit and vegetable products.