Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data

Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data

The chlorophyll index (CHI) is a crucial indicator for assessing the photosynthetic capacity and nutritional status of crops. However, traditional methods for measuring CHI, such as chemical extraction and handheld instruments, fall short in meeting the requirements for efficient, non-destructive, a...

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Bibliographic Details
Main Authors: Cong Liu, Lin Wang, Xuetong Fu, Junzhe Zhang, Ran Wang, Xiaofeng Wang, Nan Chai, Longfeng Guan, Qingshan Chen, Zhongchen Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
rice
chlorophyll index
nighttime spectral sensing
feature selection
machine learning
Online Access:https://www.mdpi.com/2077-0472/15/13/1425
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