Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis

Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis

Leaf chlorophyll content is crucial for monitoring plant growth and photosynthetic capacity. The Soil and Plant Analysis Development (SPAD) values are widely utilized as a relative chlorophyll content index in ecological agricultural surveys and vegetation remote sensing applications. Multi-spectral...

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Bibliographic Details
Main Authors: Yuwei Wang, Suiyan Tan, Xingna Jia, Long Qi, Saisai Liu, Henghui Lu, Chengen Wang, Weiwen Liu, Xu Zhao, Longxin He, Jiongtao Chen, Chuanyi Yang, Xicheng Wang, Jiaying Chen, Yijuan Qin, Jie Yu, Xu Ma
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Agronomy
Subjects:
SPAD
UAV multi-spectral images
vegetation indices
texture indices
rice
Online Access:https://www.mdpi.com/2073-4395/13/6/1541

Internet

https://www.mdpi.com/2073-4395/13/6/1541

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