Comparative analysis of RGB and multispectral UAV image data for leaf area index estimation of sweet potato

This study aims to evaluate whether the utilization of a broader array of image types and the extraction of plant canopy using RGB and multispectral cameras mounted on unmanned aerial vehicles (UAVs) can improve leaf area index (LAI) estimation accuracy. The accuracy of LAI estimation for sweet pota...

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Bibliographic Details
Main Authors: Shoki Ochiai, Erika Kamada, Ryo Sugiura
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524001849
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