Unmanned Aerial Vehicle-Based Hyperspectral Imaging Integrated with a Data Cleaning Strategy for Detection of Corn Canopy Biomass, Chlorophyll, and Nitrogen Contents at Plant Scale

Unmanned Aerial Vehicle-Based Hyperspectral Imaging Integrated with a Data Cleaning Strategy for Detection of Corn Canopy Biomass, Chlorophyll, and Nitrogen Contents at Plant Scale

The high-frequency detection of plant-scale crop growth in the field has great significance for achieving precise crop management and improving breeding practices. In this study, the biomass (BM), chlorophyll (Chl), and total nitrogen (TN) contents of the upper three leaves of the corn canopy are ta...

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Bibliographic Details
Main Authors: Zhuolin Shi, Linglong Wang, Zengling Yang, Jinzhao Li, Linwei Cai, Yuanping Huang, Hongyan Zhang, Lujia Han
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
UAV
hyperspectral
crop growth
data cleaning
plant scale
Online Access:https://www.mdpi.com/2072-4292/17/5/895
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