Multi-sensor inline system for non-invasive mango quality assessment during postharvest processing by fruit export industries in Thailand (SFB 564, T4)

Thailand is a key global producer of mango, with developed production and growing export potential. Meanwhile, international consumers and market regulations demand imported fruits with consistent and optimal quality. To guarantee export criteria of fruits, advanced grading technologies are required, but arbitrary hand sorting of mango is still practiced in Thailand. In this regard, the aim of the project is to refine previous sensor results and develop a multi-sensor inline sorting prototype capable of grading fruits according to quality, defects and contamination. The outcomes would deliver sorting knowledge and technology to local players, improve the status of Thai mango on the world market and allow farmer compensation according to quality.

This transfer project is carried out in collaboration with partners from Silpakorn University, Nakhon Pathom (Thailand) and Mae Fah Luang University, Chiang Rai (Thailand), as well as local enterprises in Germany and Thailand.

Financial support by DFG: 370,000 €