This PhD thesis explores and offers new ways for the profitable application of low-cost spectral technologies in an industrial research context. The aim of this PhD is to develop innovative low-cost hyperspectral applications to retrieve bio-physical indicators of plants and fruit status in phenotyping processes and post-harvest phases through controlled experiments.

Innovative applications of low-cost hyperspectral technologies in plants phenotyping and post-harvest processes / ANDREA GENANGELI. - (2023).

Innovative applications of low-cost hyperspectral technologies in plants phenotyping and post-harvest processes

ANDREA GENANGELI
2023

Abstract

This PhD thesis explores and offers new ways for the profitable application of low-cost spectral technologies in an industrial research context. The aim of this PhD is to develop innovative low-cost hyperspectral applications to retrieve bio-physical indicators of plants and fruit status in phenotyping processes and post-harvest phases through controlled experiments.
2023
Marco Bindi, Beniamino Gioli, Giorgio Allasia
ITALIA
Goal 8: Decent work and economic growth
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Goal 12: Responsible consumption and production
Goal 13: Climate action
ANDREA GENANGELI
8a - Tesi di dottorato
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1310169
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