Exploring Multisource Feature Fusion and Stacking Ensemble Learning for Accurate Estimation of Maize Chlorophyll Content Using Unmanned Aerial Vehicle Remote Sensing

Exploring Multisource Feature Fusion and Stacking Ensemble Learning for Accurate Estimation of Maize Chlorophyll Content Using Unmanned Aerial Vehicle Remote Sensing

Crop chlorophyll content measuring plays a vital role in monitoring crop growth and optimizing agricultural inputs such as water and fertilizer. However, traditional methods for measuring chlorophyll content primarily rely on labor-intensive chemical analysis. These methods not only involve destruct...

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Bibliographic Details
Main Authors: Weiguang Zhai, Changchun Li, Qian Cheng, Fan Ding, Zhen Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
chlorophyll content
unmanned aerial vehicle
feature fusion
stacking
maize
Online Access:https://www.mdpi.com/2072-4292/15/13/3454

Internet

https://www.mdpi.com/2072-4292/15/13/3454

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