Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data-Reference-Cited by-同舟云学术

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Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

Published:2024-04 Issue: Volume:219 Page:108808
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Liu Yang,Feng Haikuan,Yue Jibo,Jin Xiuliang,Fan Yiguang,Chen Riqiang,Bian Mingbo,Ma Yanpeng,Li Jingbo,Xu Bo,Yang Guijun

Funder

Beijing Academy of Agricultural and Forestry Sciences

Publisher

Elsevier BV

Reference66 articles.

1. Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression;Adam;Int. J. Remote Sens.,2014

2. Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry;Biewer;Precis. Agr.,2009

3. Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices;Corti;Precis. Agr.,2022

4. Application of convolutional neural network on Lei bamboo above-ground-biomass (AGB) estimation using Worldview-2;Dong;Remote Sens.,2020

5. Remote estimation of grain yield based on UAV data in different rice cultivars under contrasting climatic zone;Duan;Field Crop Res.,2021

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