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Longguo Wu

Showing results (1-10 of 8) with videos related to

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Meat Science|June 11, 2020
Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meatCaixia Wang, Songlei Wang, Xiaoguang He, et al.
Plant Biotechnology Journal|January 9, 2025
A cross-scale transfer learning framework: prediction of SOD activity from leaf microstructure to macroscopic hyperspectral imagingJie Hao, Yan Yan, Yao Zhang, et al.
Plants (Basel, Switzerland)|August 28, 2025
Optimum N:P:K Ratio of Fertilization Enhances Tomato Yield and Quality Under Brackish Water IrrigationLanqi Jing, Jianshe Li, Yongqiang Tian, et al.
Frontiers in Plant Science|July 13, 2026
ACSE: an efficient deep learning model for wheat disease identificationXiaoyan Yan, Junqi Dong, Longguo Wu, et al.
Journal of Food Science|August 14, 2024
Determination of soluble solids content in tomatoes with different nitrogen levels based on hyperspectral imaging techniqueYiyang Zhang, Yao Zhang, Yu Tian, et al.
Food Chemistry|June 19, 2026
Research on dynamic monitoring of nitrogen-driven quality changes throughout the entire growth period of cucumbers based on deep learningYang Yang, Dayang Yang, Zibin Xiao, et al.
Frontiers in Plant Science|June 29, 2026
ZDAM: a new deep learning model for bean leaf disease diagnosisJia Liu, Kaidi Yu, Hongyun Song, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|July 1, 2023
Study on CAT activity of tomato leaf cells under salt stress based on microhyperspectral imaging and transfer learning algorithmLongguo Wu, Yao Zhang, Qiufei Jiang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Meat Science|June 11, 2020
Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meatCaixia Wang, Songlei Wang, Xiaoguang He, et al.
Plant Biotechnology Journal|January 9, 2025
A cross-scale transfer learning framework: prediction of SOD activity from leaf microstructure to macroscopic hyperspectral imagingJie Hao, Yan Yan, Yao Zhang, et al.
Plants (Basel, Switzerland)|August 28, 2025
Optimum N:P:K Ratio of Fertilization Enhances Tomato Yield and Quality Under Brackish Water IrrigationLanqi Jing, Jianshe Li, Yongqiang Tian, et al.
Frontiers in Plant Science|July 13, 2026
ACSE: an efficient deep learning model for wheat disease identificationXiaoyan Yan, Junqi Dong, Longguo Wu, et al.
Journal of Food Science|August 14, 2024
Determination of soluble solids content in tomatoes with different nitrogen levels based on hyperspectral imaging techniqueYiyang Zhang, Yao Zhang, Yu Tian, et al.
Food Chemistry|June 19, 2026
Research on dynamic monitoring of nitrogen-driven quality changes throughout the entire growth period of cucumbers based on deep learningYang Yang, Dayang Yang, Zibin Xiao, et al.
Frontiers in Plant Science|June 29, 2026
ZDAM: a new deep learning model for bean leaf disease diagnosisJia Liu, Kaidi Yu, Hongyun Song, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|July 1, 2023
Study on CAT activity of tomato leaf cells under salt stress based on microhyperspectral imaging and transfer learning algorithmLongguo Wu, Yao Zhang, Qiufei Jiang, et al.
Pageof 1