Manuel B. Garcia is a professor of information technology and the founding director of the Educational Innovation and Technology Hub (EdITH) at FEU Institute of Technology, Manila, Philippines. Read More

Contact Info

1607, FEU Tech Building,
P. Paredes St, Sampaloc,
Manila, Philippines
mbgarcia@feutech.edu.ph

Follow Me

Tomayto, Tomahto: A Machine Learning Approach for Tomato Ripening Stage Identification Using Pixel-Based Color Image Classification
Conference Papers

Tomayto, Tomahto: A Machine Learning Approach for Tomato Ripening Stage Identification Using Pixel-Based Color Image Classification

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pages 1-6, (2019)

doi 10.1109/HNICEM48295.2019.9072892 | Citations: 37

, ,

This is a post-peer-review, pre-copyedit version of an article published in the proceedings of the 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). The final authenticated version is available online at: https://doi.org/10.1109/HNICEM48295.2019.9072892.

Loading pdf file, please wait...

Open in a new tab

Cite this paper

Garcia, M. B., Ambat, S. C., & Adao, R. T. (2019). Tomayto, Tomahto: A Machine Learning Approach for Tomato Ripening Stage Identification Using Pixel-Based Color Image Classification. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 1-6. https://doi.org/10.1109/HNICEM48295.2019.9072892.

Download Citation

Authors

Garcia, Manuel B.

College of Computer Studies

FEU Institute of Technology, Philippines

iD 0000-0003-2615-422X

Ambat, Shaneth C.

College of Computer Studies

FEU Institute of Technology, Philippines

Adao, Rossana T.

College of Computer Studies

FEU Institute of Technology, Philippines


Google Scholar

~

Citations

h-index

i10-index

All

1716

30

60

Since 2019

1710

30

60