Precise Sweetness Grading of Mangoes (Mangifera indica L.) Based on Random Forest Technique With Low-Cost Multispectral Sensors

Precise Sweetness Grading of Mangoes (Mangifera indica L.) Based on Random Forest Technique With Low-Cost Multispectral Sensors

Before being exported, mangoes generally undergo rigorous external and internal quality inspection processes in which near-infrared (NIR) spectral approaches are favorable for grading purposes. A successful NIR-based grading system depends largely on high-quality spectral sensors and the reliability...

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Bibliographic Details
Main Authors: Chanh-Nghiem Nguyen, Quoc-Thang Phan, Nhut-Thanh Tran, Masayuki Fukuzawa, Phuoc-Loc Nguyen, Chi-Ngon Nguyen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cost-effective
sweetness grading of Cat Hoa Loc mango
spectral response selection
VIS-NIR features extraction
discriminant index for random forest classifier
Online Access:https://ieeexplore.ieee.org/document/9268151/

Internet

https://ieeexplore.ieee.org/document/9268151/

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