Predicting soluble solids content in “Fuji” apples of different ripening stages based on multiple information fusion-Reference-Cited by-同舟云学术

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Predicting soluble solids content in “Fuji” apples of different ripening stages based on multiple information fusion

Published:2021-11 Issue: Volume:151 Page:76-84
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Huang Yirui,Wang Juan,Li Na,Yang Jing,Ren Zhenhui

Funder

Department of Science and Technology, Hubei Provincial People's Government

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Modelling and classification of apple textural attributes using sensory, instrumental and compositional analyses;Bejaei;Foods,2021

2. The cardiovascular health benefits of apples: whole fruit vs. isolated compounds;Bondonno;Trends Food Sci. Tech.,2017

3. Influence of normalization and color space to color texture classification;Cernadas;Pattern Recogn.,2017

4. Highway traffic incident detection based on BPNN;Cheng;Procedia Eng.,2010

5. Effects of learning parameters on learning procedure and performance of a BPNN;Dai;Neural Netw.,1997

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2. Prediction of Soluble Solid Contents in Apples Using Vis-NIRS and Functional Linear Regression Model;SPECTROSC SPECT ANAL;2024

3. NIR Inversion Model of Larch Wood Density at Different Moisture Contents Based on MVO-BPNN;Journal of Applied Spectroscopy;2024-05

4. Research Review on Quality Detection of Fresh Tea Leaves Based on Spectral Technology;Foods;2023-12-20

5. Ensemble Learning Model Incorporating Fractional Differential and PIMP-RF Algorithm to Predict Soluble Solids Content of Apples During Maturing Period;SPECTROSC SPECT ANAL;2023

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