Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression

Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression

This paper’s novel focus is predicting the leaf nitrogen content of rice during growing and maturing. A multispectral image processing-based prediction model of the Radial Basis Function Neural Network (RBFNN) model was proposed. Moreover, this paper depicted three primary points as the following: F...

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Bibliographic Details
Main Authors: Yawen Wu, Saba J. Al-Jumaili, Dhiya Al-Jumeily, Haiyi Bian
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
image processing
predication
artificial neural network
rice leaves
Online Access:https://www.mdpi.com/1424-8220/22/22/8626

Internet

https://www.mdpi.com/1424-8220/22/22/8626

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