A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples.

ABSTRACT:

Background

Fruit storage methods such as dynamic controlled atmosphere (DCA) technology enable adjusting the level of oxygen in the storage room, according to the physiological state of the product to slow down the ripening process. However, the successful application of DCA requires precise and reliable sensors of the oxidative stress of the fruit. In this study, respiration rate and chlorophyll fluorescence (CF) signals were evaluated after introducing a novel predictors of apples' hypoxic stress based on laser speckle imaging technique (LSI).

Results

Both chlorophyll fluorescence and LSI signals were equally good for stress detection in principle. However, in an application with automatic detection based on machine learning models, the LSI signal proved to be superior, du

SUBMITTER: Pieczywek PM 

PROVIDER: S-EPMC11437772 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature