The following publications are possibly variants of this publication:
- Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter WheatJiale Jiang, Weidi Cai, Hengbiao Zheng, Tao Cheng 0003, YongChao Tian, Yan Zhu 0005, Reza Ehsani, Yongqiang Hu, Qingsong Niu, Lijuan Gui, Xia Yao. remotesensing, 11(22):2667, 2019. [doi]
- Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial VehiclesBaohua Yang, Mengxuan Wang, Zhengxia Sha, Bing Wang, Jianlin Chen, Xia Yao, Tao Cheng 0003, Weixing Cao, Yan Zhu 0005. sensors, 19(20):4416, 2019. [doi]
- An Investigation of Winter Wheat Leaf Area Index Fitting Model Using Spectral and Canopy Height Model Data from Unmanned Aerial Vehicle ImageryXuewei Zhang, Kefei Zhang, Suqin Wu, Hongtao Shi, Yaqin Sun, Yindi Zhao, Erjiang Fu, Shuo Chen, Chaofa Bian, Wei Ban. remotesensing, 14(20):5087, 2022. [doi]
- A Three-Dimensional Conceptual Model for Estimating the Above-Ground Biomass of Winter Wheat Using Digital and Multispectral Unmanned Aerial Vehicle Images at Various Growth StagesYongji Zhu, Jikai Liu, Xinyu Tao, Xiangxiang Su, Wenyang Li, Hainie Zha, Wenge Wu, Xinwei Li. remotesensing, 15(13):3332, July 2023. [doi]
- Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral ImagesChangsai Zhang, Yuan Yi, Lijuan Wang, Xuewei Zhang, Shuo Chen, Zaixing Su, Shuxia Zhang, Yong Xue. remotesensing, 16(3):469, February 2024. [doi]