Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves

Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves

To address the demands of precision agriculture and the measurement of plant photosynthetic response and nitrogen status, it is necessary to employ advanced methods for estimating chlorophyll content quickly and non-destructively at a large scale. Therefore, we explored the utilization of both linea...

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Bibliographic Details
Main Authors: Dasui Li, Qingqing Hu, Siqi Ruan, Jun Liu, Jinzhi Zhang, Chungen Hu, Yongzhong Liu, Yuanyong Dian, Jingjing Zhou
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
leaf chlorophyll content
hyperspectral
citrus
linear regression
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/20/4934

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