研究论文
Rapid and nondestructive detection of marine fishmeal adulteration by hyperspectral imaging and machine learning
Dandan Kong, Dawei Sun, Ruicheng Qiu, Wenkai Zhang, Yufei Liu, Yong He
Ministry of Agriculture and Rural Affairs Zhejiang University ZheJiang Academy of Agricultural Sciences
来源Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
年份2022
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逐年被引趋势
1370
22
23
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26
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38
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2.90
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同类平均 = 1
同类平均 = 1
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学术脉络
学科主题
化学Spectroscopy and Chemometric Analyses
Meat and Animal Product Quality · Identification and Quantification in Food
参考文献 47
Nutritional and Chemical Composition of By-Product Fractions Produced from Wet Reduction of Individual Red Salmon (Oncorhynchus nerka) Heads and Viscera
被引 23Ted H. Wu, Jonathan D. Nigg, Jesse J. Stine · Journal of Aquatic Food Product Technology · 2011
Differentiation of meat and bone meal from fishmeal by near-infrared spectroscopy: Extension of scope to defatted samples
被引 23Noelia Tena, Juan Antonio Fernández Pierna, Ana Boix · Food Control · 2014
Advances in Feature Selection Methods for Hyperspectral Image Processing in Food Industry Applications: A Review
被引 112Qiong Dai, Jun‐Hu Cheng, Da‐Wen Sun · Critical Reviews in Food Science and Nutrition · 2014
此处列出前 3 条
引用本文 38
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
被引 163Rishabh Goyal, Poonam Singha, Sushil Kumar Singh · Trends in Food Science & Technology · 2024
Recent advances in artificial intelligence towards the sustainable future of agri-food industry
被引 137Pinku Chandra Nath, Awdhesh Kumar Mishra, Ramesh Sharma · Food Chemistry · 2024
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
被引 90Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain · Journal of Agriculture and Food Research · 2023
按被引量排序，此处列出前 3 条