Rapid Grading of Mangosteen Peel Defect Using Extreme Learning Machine-Reference-Cited by-同舟云学术

Rapid Grading of Mangosteen Peel Defect Using Extreme Learning Machine

Published:2021-10-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications
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Author:

Afandi Mohamad Imam¹,Kurniawan Edi²,Wijaya Sastra Kusuma¹

Affiliation:

1. Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Indonesia

2. Research Center for Physics, National Research and Innovation Agency (BRIN), Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489088.3489110

Reference14 articles.

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2. [ 2 ] A. Acharya M. Phothisonothai and S. Tantisatirapong. 2018. Surface roughness classification of mangosteen with gray level co-occurrence matrix based texture analysis. https://doi.org/10.1109/ICSEC.2018.8712705 10.1109/ICSEC.2018.8712705 [2] A. Acharya M. Phothisonothai and S. Tantisatirapong. 2018. Surface roughness classification of mangosteen with gray level co-occurrence matrix based texture analysis. https://doi.org/10.1109/ICSEC.2018.8712705

3. [ 3 ] M. Phothisonothai and S. Tantisatirapong. 2019. Fractal Dimension Based Color Texture Analysis for Mangosteen Ripeness Grading. https://doi.org/10.1109/ISPACS48206.2019.8986398 10.1109/ISPACS48206.2019.8986398 [3] M. Phothisonothai and S. Tantisatirapong. 2019. Fractal Dimension Based Color Texture Analysis for Mangosteen Ripeness Grading. https://doi.org/10.1109/ISPACS48206.2019.8986398

4. [ 4 ] I. A. Mohtar N. S. S. Ramli and Z. Ahmad. 2019. Automatic classification of mangosteen ripening stages using deep learning. https://doi.org/10.1109/AiDAS47888.2019.8970933 10.1109/AiDAS47888.2019.8970933 [4] I. A. Mohtar N. S. S. Ramli and Z. Ahmad. 2019. Automatic classification of mangosteen ripening stages using deep learning. https://doi.org/10.1109/AiDAS47888.2019.8970933

5. Classification of Maturity Level of the Mangosteen using the Convolutional Neural Network (CNN);Sudana O.;Method. Int. J. Adv. Sci. Technol.,2020