首页|期刊导航|International Journal of Agricultural and Biological Engineering|Estimating the leaf water content of Coffea arabica L.based on hyperspectral reflectance and dataset construction

Estimating the leaf water content of Coffea arabica L.based on hyperspectral reflectance and dataset construction

Xiaogang Liu Kailun Peng Shaomin Chen Yunfei Tuo Shuai Zhang Shuai Tan Fangchuan Lou Jinxue Li Zhenjia Chen

International Journal of Agricultural and Biological Engineering2025，Vol.18Issue(5)：P.287-297,11.

International Journal of Agricultural and Biological Engineering2025，Vol.18Issue(5)：P.287-297,11.DOI:10.25165/j.ijabe.20251805.9067

Estimating the leaf water content of Coffea arabica L.based on hyperspectral reflectance and dataset construction

Xiaogang Liu ¹Kailun Peng ²Shaomin Chen ¹Yunfei Tuo ³Shuai Zhang ²Shuai Tan ¹Fangchuan Lou ²Jinxue Li ⁴Zhenjia Chen⁵

作者信息

1. Faculty of Modern Agricultural Engineering,Kunming University of Science and Technology,Kunming 650500,China Yunnan Provincial Field Scientific Observation and Research Station on Water-Soil-Crop System in Seasonal Arid Region,Kunming University of Science and Technology,Kunming 650500,China
2. Faculty of Modern Agricultural Engineering,Kunming University of Science and Technology,Kunming 650500,China
3. College of Soil and Water Conservation,Southwest Forestry University,Kunming 650224,China
4. College of Biotechnology and Engineering,West Yunnan University,Lincang 677000,Yunnan,China
5. China Coffee Engineering Research Center,Dehong Normal University,Dehong 678400,Yunnan,China
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摘要

关键词

spectral index/feature band/dataset/Coffea arabica L./leaf water content/machine learning

分类

农业科技

引用本文复制引用

Xiaogang Liu,Kailun Peng,Shaomin Chen,Yunfei Tuo,Shuai Zhang,Shuai Tan,Fangchuan Lou,Jinxue Li,Zhenjia Chen..Estimating the leaf water content of Coffea arabica L.based on hyperspectral reflectance and dataset construction[J].International Journal of Agricultural and Biological Engineering,2025,18(5):P.287-297,11.

基金项目

supported by the National Natural Science Foundation of China(Grant No.52379040) （Grant No.52379040）

Yunnan Fundamental Research Projects(Grant No.202301AS070030 and 202101AU070039) （Grant No.202301AS070030 and 202101AU070039）

Yunnan Major Science and Technology Special Plan(Grant No.202302AE090024) （Grant No.202302AE090024）

Yunnan Science and Technology Talent and Platform Program(Grant No.202305AM070006) （Grant No.202305AM070006）

the Yunnan Intelligent Water-Fertilizer-Pesticide Integration Technology and Equipment Innovation Team(No.202505AS350025). （No.202505AS350025）

International Journal of Agricultural and Biological Engineering

ISSN：1934-6344

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