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Tiecheng Bai
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2020 – today
- 2024
- [j13]Rui Ma, Nannan Zhang
, Xiao Zhang, Tiecheng Bai
Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion. Comput. Electron. Agric. 217: 108628 (2024) - [j12]Lichao Xu, Haiqi Liu, Liang Jiang, Feilong Zhang, Xiaoli Li, Xuping Feng, Jianxi Huang
WOFOST-N: An improved WOFOST model with nitrogen module for simulation of Korla Fragrant pear tree growth and nitrogen dynamics. Comput. Electron. Agric. 220: 108860 (2024) - [j11]Xu Li, Jingming Wu, Tiecheng Bai
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN. Comput. Electron. Agric. 223: 109122 (2024) - [j10]Yufeng He
A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid Attention for Remote Sensing Image Dehazing. Remote. Sens. 16(15): 2822 (2024) - 2023
- [j9]Xu Li
A Study on the Estimation Model of Hyperspectral Reflectivity and Leaf Nitrogen Content of Cotton Leaves. IEEE Access 11: 74228-74238 (2023) - [j8]Nannan Zhang, Xiao Zhang, Peng Shang, Rui Ma, Xintao Yuan, Li Li, Tiecheng Bai
Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM. Remote. Sens. 15(13): 3373 (2023) - [j7]Yufeng He
Remote Sensing Image Haze Removal Based on Superpixel. Remote. Sens. 15(19): 4680 (2023) - 2022
- [j6]Hao Fei, Zehua Fan, Chengkun Wang
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier. Remote. Sens. 14(4): 829 (2022) - [j5]Xi Huang, Tiecheng Bai
An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation. Remote. Sens. 14(24): 6396 (2022)
2010 – 2019
- 2019
- [j4]Tiecheng Bai
Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length. Comput. Electron. Agric. 162: 1011-1027 (2019) - [j3]Tiecheng Bai
Improving Jujube Fruit Tree Yield Estimation at the Field Scale by Assimilating a Single Landsat Remotely-Sensed LAI into the WOFOST Model. Remote. Sens. 11(9): 1119 (2019) - [j2]Tiecheng Bai
Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts. Remote. Sens. 11(16): 1945 (2019) - 2014
- [j1]Tiecheng Bai
A forecasting method of forest pests based on the rough set and PSO-BP neural network. Neural Comput. Appl. 25(7-8): 1699-1707 (2014)
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