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Chenlong Fan

Showing results (1-10 of 15) with videos related to

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Frontiers in Nutrition|January 2, 2026
Machine learning and near-infrared fusion-driven quantitative characterization and detection of protein content in maize kernelsYang Yu, Yongkun Qiao, Chenlong Fan, et al.
Foods (Basel, Switzerland)|January 8, 2025
Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning AlgorithmsChenlong Fan, Wenjing Wang, Tao Cui, et al.
Sensors (Basel, Switzerland)|October 26, 2024
Bilateral Defect Cutting Strategy for Sawn Timber Based on Artificial Intelligence Defect Detection ModelChenlong Fan, Zilong Zhuang, Ying Liu, et al.
Foods (Basel, Switzerland)|January 8, 2025
Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared SpectroscopyChenlong Fan, Ying Liu, Tao Cui, et al.
Bioresource Technology|June 24, 2025
Biochar-induced quorum sensing enhances methane production by strengthening direct interspecies electron transferYu Li, Chenlong Fan, Lingsen Liu, et al.
Food Research International (Ottawa, Ont.)|December 18, 2025
A quantitative detection method for maize kernel broken rate based on the optimisation of the MSA transformer algorithmYongkun Qiao, Mengmeng Qiao, Chenlong Fan, et al.
Sensors (Basel, Switzerland)|April 26, 2025
Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy OptimizationHaifei Xia, Haiyan Zhou, Mingao Zhang, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 22, 2025
Identification of early bruising degrees in blueberries using visible and near-infrared spectroscopy coupled with deep learningYuping Huang, Zhouchen Bian, Haojun Jin, et al.
Journal of the Science of Food and Agriculture|March 23, 2024
Prediction of moisture content for a single maize kernel based on viscoelastic propertiesMengmeng Qiao, Guoyi Xia, Yang Xu, et al.
Journal of Hazardous Materials|April 21, 2024
Removal of RNA viruses from swine wastewater using anaerobic membrane bioreactor: Performance and mechanismsYu Li, Baolei Wu, Xuanyu Zhai, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Frontiers in Nutrition|January 2, 2026
Machine learning and near-infrared fusion-driven quantitative characterization and detection of protein content in maize kernelsYang Yu, Yongkun Qiao, Chenlong Fan, et al.
Foods (Basel, Switzerland)|January 8, 2025
Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning AlgorithmsChenlong Fan, Wenjing Wang, Tao Cui, et al.
Sensors (Basel, Switzerland)|October 26, 2024
Bilateral Defect Cutting Strategy for Sawn Timber Based on Artificial Intelligence Defect Detection ModelChenlong Fan, Zilong Zhuang, Ying Liu, et al.
Foods (Basel, Switzerland)|January 8, 2025
Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared SpectroscopyChenlong Fan, Ying Liu, Tao Cui, et al.
Bioresource Technology|June 24, 2025
Biochar-induced quorum sensing enhances methane production by strengthening direct interspecies electron transferYu Li, Chenlong Fan, Lingsen Liu, et al.
Food Research International (Ottawa, Ont.)|December 18, 2025
A quantitative detection method for maize kernel broken rate based on the optimisation of the MSA transformer algorithmYongkun Qiao, Mengmeng Qiao, Chenlong Fan, et al.
Sensors (Basel, Switzerland)|April 26, 2025
Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy OptimizationHaifei Xia, Haiyan Zhou, Mingao Zhang, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 22, 2025
Identification of early bruising degrees in blueberries using visible and near-infrared spectroscopy coupled with deep learningYuping Huang, Zhouchen Bian, Haojun Jin, et al.
Journal of the Science of Food and Agriculture|March 23, 2024
Prediction of moisture content for a single maize kernel based on viscoelastic propertiesMengmeng Qiao, Guoyi Xia, Yang Xu, et al.
Journal of Hazardous Materials|April 21, 2024
Removal of RNA viruses from swine wastewater using anaerobic membrane bioreactor: Performance and mechanismsYu Li, Baolei Wu, Xuanyu Zhai, et al.
Pageof 2