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Meichen Feng

Showing results (1-10 of 28) with videos related to

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Scientific Reports|April 1, 2025
Detection of kidney bean leaf spot disease based on a hybrid deep learning modelYiwei Wang, Qianyu Wang, Yue Su, et al.
RSC Advances|May 2, 2022
An efficient variable selection method based on random frog for the multivariate calibration of NIR spectraJingjing Sun, Wude Yang, Meichen Feng, et al.
Frontiers in Plant Science|January 30, 2023
Modeling of the potential geographical distribution of naked oat under climate changeMingxing Qin, Xinyue Gao, Meichen Feng, et al.
Scientific Reports|January 16, 2020
Canopy hyperspectral characteristics and yield estimation of winter wheat (Triticum aestivum) under low temperature injuryYongkai Xie, Chao Wang, Wude Yang, et al.
Plos One|August 18, 2017
Hyperspectral prediction of leaf area index of winter wheat in irrigated and rainfed fieldsGuangxin Li, Chao Wang, Meichen Feng, et al.
Plos One|January 7, 2017
Extraction of Sensitive Bands for Monitoring the Winter Wheat (Triticum aestivum) Growth Status and Yields Based on the Spectral ReflectanceChao Wang, Meichen Feng, Wude Yang, et al.
Plants (Basel, Switzerland)|July 27, 2022
Effects of Applying Different Doses of Selenite to Soil and Foliar at Different Growth Stage on Selenium Content and Yield of Different Oat VarietiesShuangnan Hao, Panfeng Liu, Jie Qin, et al.
Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology|February 21, 2023
[Hyperspectral monitoring on proline content in winter wheat under water stress]Yongkai Xie, Jinyao Song, Min Liu, et al.
Frontiers in Plant Science|December 8, 2025
Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT modelYu Zhao, Zeyang Wen, Chao Wang, et al.
Frontiers in Plant Science|March 15, 2021
Potential of Multivariate Statistical Technique Based on the Effective Spectra Bands to Estimate the Plant Water Content of Wheat Under Different Irrigation RegimesHui Sun, Meichen Feng, Lujie Xiao, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Scientific Reports|April 1, 2025
Detection of kidney bean leaf spot disease based on a hybrid deep learning modelYiwei Wang, Qianyu Wang, Yue Su, et al.
RSC Advances|May 2, 2022
An efficient variable selection method based on random frog for the multivariate calibration of NIR spectraJingjing Sun, Wude Yang, Meichen Feng, et al.
Frontiers in Plant Science|January 30, 2023
Modeling of the potential geographical distribution of naked oat under climate changeMingxing Qin, Xinyue Gao, Meichen Feng, et al.
Scientific Reports|January 16, 2020
Canopy hyperspectral characteristics and yield estimation of winter wheat (Triticum aestivum) under low temperature injuryYongkai Xie, Chao Wang, Wude Yang, et al.
Plos One|August 18, 2017
Hyperspectral prediction of leaf area index of winter wheat in irrigated and rainfed fieldsGuangxin Li, Chao Wang, Meichen Feng, et al.
Plos One|January 7, 2017
Extraction of Sensitive Bands for Monitoring the Winter Wheat (Triticum aestivum) Growth Status and Yields Based on the Spectral ReflectanceChao Wang, Meichen Feng, Wude Yang, et al.
Plants (Basel, Switzerland)|July 27, 2022
Effects of Applying Different Doses of Selenite to Soil and Foliar at Different Growth Stage on Selenium Content and Yield of Different Oat VarietiesShuangnan Hao, Panfeng Liu, Jie Qin, et al.
Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology|February 21, 2023
[Hyperspectral monitoring on proline content in winter wheat under water stress]Yongkai Xie, Jinyao Song, Min Liu, et al.
Frontiers in Plant Science|December 8, 2025
Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT modelYu Zhao, Zeyang Wen, Chao Wang, et al.
Frontiers in Plant Science|March 15, 2021
Potential of Multivariate Statistical Technique Based on the Effective Spectra Bands to Estimate the Plant Water Content of Wheat Under Different Irrigation RegimesHui Sun, Meichen Feng, Lujie Xiao, et al.
Pageof 3