Tiecheng Bai
Orcid: 0000-0003-0095-558X
According to our database1,
Tiecheng Bai
authored at least 13 papers
between 2014 and 2024.
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Bibliography
2024
A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid Attention for Remote Sensing Image Dehazing.
Remote. Sens., August, 2024
WOFOST-N: An improved WOFOST model with nitrogen module for simulation of Korla Fragrant pear tree growth and nitrogen dynamics.
Comput. Electron. Agric., 2024
Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion.
Comput. Electron. Agric., 2024
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN.
Comput. Electron. Agric., 2024
2023
Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM.
Remote. Sens., July, 2023
A Study on the Estimation Model of Hyperspectral Reflectivity and Leaf Nitrogen Content of Cotton Leaves.
IEEE Access, 2023
2022
An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation.
Remote. Sens., December, 2022
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier.
Remote. Sens., 2022
2019
Improving Jujube Fruit Tree Yield Estimation at the Field Scale by Assimilating a Single Landsat Remotely-Sensed LAI into the WOFOST Model.
Remote. Sens., 2019
Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts.
Remote. Sens., 2019
Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length.
Comput. Electron. Agric., 2019
2014
A forecasting method of forest pests based on the rough set and PSO-BP neural network.
Neural Comput. Appl., 2014