Yiguang Fan
According to our database1,
Yiguang Fan
authored at least 13 papers
between 2022 and 2024.
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Bibliography
2024
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data.
Comput. Electron. Agric., 2024
Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques.
Comput. Electron. Agric., 2024
Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery.
Comput. Electron. Agric., 2024
Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables.
Comput. Electron. Agric., 2024
A model suitable for estimating above-ground biomass of potatoes at different regional levels.
Comput. Electron. Agric., 2024
2023
Comput. Electron. Agric., November, 2023
Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements.
Comput. Electron. Agric., October, 2023
Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages.
Comput. Electron. Agric., September, 2023
Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods.
Remote. Sens., February, 2023
2022
Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery.
Remote. Sens., 2022
Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.
Remote. Sens., 2022
Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs.
Remote. Sens., 2022
Comparison of Winter Wheat Yield Estimation Based on Near-Surface Hyperspectral and UAV Hyperspectral Remote Sensing Data.
Remote. Sens., 2022