研究论文
Enhancing spectroscopy-based fruit quality control: A knowledge-guided machine learning approach to reduce model uncertainty
Jie Yang, Zhizhong Sun, Shijie Tian, Hao Jiang, Jintao Feng, K. C. Ting, Tao Lin, Yibin Ying
University of Minnesota Biotechnology Institute Zhejiang University-University of Edinburgh Institute Zhejiang University
来源Postharvest Biology and Technology
年份2024
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化学Spectroscopy and Chemometric Analyses
Water Quality Monitoring and Analysis · Smart Agriculture and AI
参考文献 65
Validation of chemometric models – A tutorial
被引 376Frank Westad, Federico Marini · Analytica Chimica Acta · 2015
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
被引 2,224Bart Nicolaı̈, Katrien Beullens, Els Bobelyn · Postharvest Biology and Technology · 2007
Effect of biological variability on the robustness of NIR models for soluble solids content of apples
被引 184Ann Peirs, Jeroen Tirry, Bert Verlinden · Postharvest Biology and Technology · 2003
此处列出前 3 条
引用本文 13
Advanced chemometrics toward robust spectral analysis for fruit quality evaluation
被引 73Xiaolei Zhang, Jie Yang · Trends in Food Science & Technology · 2024
Technological innovations for reducing tomato loss in the agri-food industry
被引 16Irene Domínguez, José Luis del Rı́o, Víctor Ortiz-Somovilla · Food Research International · 2025
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping
被引 12Dan Zhao, Guijun Yang, Tongyu Xu · Plant Phenomics · 2025
按被引量排序，此处列出前 3 条