Predicting grain yield of maize using a new multispectral-based canopy volumetric vegetation index-Reference-Cited by-同舟云学术

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Predicting grain yield of maize using a new multispectral-based canopy volumetric vegetation index

Published:2024-09 Issue: Volume:166 Page:112295
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Guo Yahui,Fu Yongshuo H.,Chen Shouzhi,Hao Fanghua,Zhang Xuan,de Beurs Kirsten,He Yuhong

Funder

Hubei Province Natural Science Foundation

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Higher Education Discipline Innovation Project

Publisher

Elsevier BV

Reference43 articles.

1. Critical drought intensity-duration-frequency curves based on total probability theorem-coupled frequency analysis;Aksoy;Hydrol. Sci. J.,2021

2. Terrestrial gross primary production: Using NIRV to scale from site to globe;Badgley;Glob. Chang. Biol.,2019

3. Outgoing near-infrared radiation from vegetation scales with canopy photosynthesis across a spectrum of function, structure, physiological capacity, and weather;Baldocchi;J. Geophys. Res. Biogeo.,2020

4. Prediction of field-scale wheat yield using machine learning method and multi-spectral UAV data;Bian;Remote Sens. (Basel),2022

5. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor;Cao;Field Crop Res,2013

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