An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model

An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model

Chlorophyll content is an important indicator for estimating potato growth. However, there are still some research gaps in the inversion of canopy chlorophyll content using unmanned aerial vehicle (UAV) remote sensing. For example, it faces limitations of the growth cycle, low parameter accuracy, an...

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Bibliographic Details
Main Authors: Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agriculture
Subjects:
potato
remote sensing
chlorophyll content
feature selection
machine learning
improved algorithm
Online Access:https://www.mdpi.com/2077-0472/15/11/1181
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