Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index

Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index

Leaf blast is a significant global problem, severely affecting rice quality and yield, making swift, non-invasive detection crucial for effective field management. This study used hyperspectral remote sensing technology via an unmanned aerial vehicle to gather spectral data from rice crops. ANOVA an...

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Bibliographic Details
Main Authors: Guangming LI, Dongxue ZHAO, Jinpeng LI, Shuai FENG, Chunling CHEN
Format: Article
Language:English
Published: Higher Education Press 2025-06-01
Series:Frontiers of Agricultural Science and Engineering
Subjects:
Drone remote sensing technology
hyperspectral technology
leaf blast disease
rice
vegetation index
Online Access:https://journal.hep.com.cn/fase/EN/PDF/10.15302/J-FASE-2024576
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https://journal.hep.com.cn/fase/EN/PDF/10.15302/J-FASE-2024576

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