Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm

Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm

Monitoring anthocyanins is essential for assessing nutritional value and the growth status of plants. This study aimed to utilize hyperspectral technology to non-destructively monitor anthocyanin levels. Spectral data were preprocessed using standard normal variate (SNV) and first-derivative (FD) sp...

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Bibliographic Details
Main Authors: Chunhui Liu, Haiye Yu, Yucheng Liu, Lei Zhang, Dawei Li, Junhe Zhang, Xiaokai Li, Yuanyuan Sui
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
anthocyanins
hyperspectral spectral features
vegetation indices
machine learning
Online Access:https://www.mdpi.com/2073-4395/14/12/2915
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