Winter Wheat SPAD Prediction Based on Multiple Preprocessing, Sequential Module Fusion, and Feature Mining Methods

Winter Wheat SPAD Prediction Based on Multiple Preprocessing, Sequential Module Fusion, and Feature Mining Methods

Chlorophyll is a crucial indicator for monitoring crop growth and assessing nutritional status. Hyperspectral remote sensing plays an important role in precision agriculture, offering a non-destructive approach to predicting leaf chlorophyll. However, crop canopy spectra often face background noise...

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Bibliographic Details
Main Authors: Ying Nian, Xiangxiang Su, Hu Yue, Sumera Anwar, Jun Li, Weiqiang Wang, Yali Sheng, Qiang Ma, Jikai Liu, Xinwei Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
hyperspectral
winter wheat
chlorophyll
feature mining methods
preprocessing methods
Online Access:https://www.mdpi.com/2077-0472/14/12/2258
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