Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content

Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content

This study designs a spectrum data collection device and system based on the Internet of Things technology, aiming to solve the tedious process of chlorophyll collection and provide a more convenient and accurate method for predicting chlorophyll content. The device has the advantages of integrated...

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Bibliographic Details
Main Authors: Longjie Li, Junxian Guo, Qian Wang, Jun Wang, Ya Liu, Yong Shi
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
Internet of Things technology
spectral data analysis
chlorophyll content prediction
regression algorithms
data preprocessing
Online Access:https://www.mdpi.com/1424-8220/23/20/8585

Internet

https://www.mdpi.com/1424-8220/23/20/8585

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