Prediction of cotton FPAR and construction of defoliation spraying prescription map based on multi-source UAV images-Reference-Cited by-同舟云学术

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Prediction of cotton FPAR and construction of defoliation spraying prescription map based on multi-source UAV images

Published:2024-05 Issue: Volume:220 Page:108897
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhang Lechun,Sun Binshu,Zhao Denan,Shan Changfeng,Wang Guobin,Song Cancan,Chen Pengchao,Lan Yubin

Funder

National Natural Science Foundation of China

Shandong Province Natural Science Foundation

Publisher

Elsevier BV

Reference113 articles.

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3. Quantification of the climate change-induced variations in intensity–duration–frequency curves in the Canadian prairies;Alam;J. Hydrol.,2015

4. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat 1;Asrar;Agron. J.,1984

5. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Remote Sens. Environ.,1991

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data;Industrial Crops and Products;2024-10

2. Inversion of Cotton Soil and Plant Analytical Development Based on Unmanned Aerial Vehicle Multispectral Imagery and Mixed Pixel Decomposition;Agriculture;2024-08-25

3. Estimation of Maize Water Productivity and Biomass Using Uav Multispectral and Thermal Imagery;2024

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