Detection of Overall Fruit Maturity of Local Fruits using Convolutional Neural Networks Through Image Processing-Reference-Cited by-同舟云学术

Detection of Overall Fruit Maturity of Local Fruits using Convolutional Neural Networks Through Image Processing

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Computing and Big Data - ICCBD 2019
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Author:

Ayllon Mark Anthony¹,Cruz Melwin James¹,Mendoza Justin Jason¹,Tomas Mary Christine¹

Affiliation:

1. School of Information Technology Mapua University, Makati City, Philippines

Publisher

ACM Press

Reference29 articles.

1. Bersales, L. G. 2018. Crops Statistics of the Philippines. Quezon City: Philippine Statistics Authority.

2. Bhargava, A., & Bansal, A. 2018. Fruits and vegetables quality evaluation using computer vision: A review. 15.

3. Dreval, R. 2014. Banana. Retrieved from slideshare.net (Sept.2014).:https://www.slideshare.net/RioneDrevale/banana-39036100

4. Effendi, Z., Ramli, R., & Ghani, J. 2010. A Back Propagation Neural Networks for Grading Jatropha curcas Fruits Maturity. 5.

5. Kanimozhi, B., & Malliga, R. 2017. Classification of Ripe or Unripe Orange Fruits Using the Color-Coding Technique. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 3, Pages 43--47, April 2017, 5.

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