Inversion of SPAD Values of Pear Leaves at Different Growth Stages Based on Machine Learning and Sentinel-2 Remote Sensing Data

Inversion of SPAD Values of Pear Leaves at Different Growth Stages Based on Machine Learning and Sentinel-2 Remote Sensing Data

Chlorophyll content is a critical indicator of the physiological status and fruit quality of pear trees, with Soil Plant Analysis Development (SPAD) values serving as an effective proxy due to their advantages in rapid and non-destructive acquisition. However, current remote sensing-based SPAD retri...

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Bibliographic Details
Main Authors: Ning Yan, Qu Xie, Yasen Qin, Qi Wang, Sumin Lv, Xuedong Zhang, Xu Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
Subjects:
Sentinel-2
pear tree leaves
SPAD
machine learning
growth stages
Online Access:https://www.mdpi.com/2077-0472/15/12/1264
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