Early Warning Potential of Cucumber Spoilage Based on Hyperspectral Information During Its Storage

A microbial quantity monitoring model based on 3D fluorescence data of the cucumber storeroom gas and its use in providing auxiliary early spoilage warning

“…After effectively determining the number of sample components and decomposing their spectral overlap, the microbial quantity prediction model was constructed to monitor the changes in cucumber quality and predict the spoilage date in real time. At present, the monitoring of the overall quality of vegetables during storage mainly focuses on random sampling, [15][16][17] which is not representative of the overall samples, and the individual samples vary greatly, which often cause interference with the testing results. In this paper, a microbial quantity monitoring model is built by taking the gas in the storage room as the sampling object, so as to achieve the overall quality monitoring of cucumber and provide a new method for the early spoilage warning of cucumber as well as other vegetables and fruits.…”