Rapid determination of water content in potato tubers based on hyperspectral images and machine learning algorithms

Author:

ZOU Zhiyong1,WU Qingsong1ORCID,CHEN Jie1,LONG Tao1,WANG Jian1,ZHOU Man1,ZHAO Yongpeng1,YU Tingjiang2,WANG Yinfan3,XU Lijia1

Affiliation:

1. Sichuan Agricultural University, P. R. China

2. State Energy Dadu River Waterfall Ditch Hydroelectric Power Plant, China

3. Harbin University of Science and Technology, China

Publisher

FapUNIFESP (SciELO)

Subject

Food Science,Biotechnology

Reference39 articles.

1. Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea;An T.;Sensors and Actuators B: Chemical,2022

2. Development of an extruded food product similar to fried potatoes, based on by-products of potatoes and rice. physicochemical and microbiological evaluation;Calderón L. A.;Food Science and Technology,2021

3. Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice;Das B.;Spectrochimica Acta. Part A: Molecular and Biomolecular Spectroscopy,2020

4. Formation lithology classification using scalable gradient boosted decision trees;Dev V. A.;Computers & Chemical Engineering,2019

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