Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images

Estimation of Amorphophallus Konjac Above-Ground Biomass by Integrating Spectral and Texture Information from Unmanned Aerial Vehicle-Based RGB Images

The estimation of Above-Ground Biomass (AGB) in Amorphophallus konjac (Konjac) is essential for field management and yield prediction. While previous research has demonstrated the efficacy of Unmanned Aerial Vehicle (UAV) RGB imagery in estimating AGB for monoculture crops, the applicability of thes...

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Bibliographic Details
Main Authors: Ziyi Yang, Hongjuan Qi, Kunrong Hu, Weili Kou, Weiheng Xu, Huan Wang, Ning Lu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Drones
Subjects:
konjac
above-ground biomass
regression techniques
UAV-based RGB
deep learning
Online Access:https://www.mdpi.com/2504-446X/9/3/220
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