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Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices

Timely and accurate estimation of cotton seedling emergence rate is of great significance to cotton production. This study explored the feasibility of drone-based remote sensing in monitoring cotton seedling emergence. The visible and multispectral images of cotton seedlings with 2 - 4 leaves in 30...

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Principais autores: Tiansheng Li, Haijiang Wang, Jing Cui, Weiju Wang, Wenruiyu Li, Menghao Jiang, Xiaoyan Shi, Jianghui Song, Jingang Wang, Xin Lv, Lifu Zhang
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-03-01
Serier:Frontiers in Plant Science
Fag:
machine vision
vegetation index
machine learning
Otsu
multispectral image
Online adgang:https://www.frontiersin.org/articles/10.3389/fpls.2024.1333089/full
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