Tiecheng Bai

Orcid: 0000-0003-0095-558X

According to our database1, Tiecheng Bai authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Remote Sensing Image Haze Removal Based on Superpixel.
Remote. Sens., October, 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


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