The Tomato Sorting Machine
This article presents the study of the controller for the tomato sorting machine. The controller can determine the tomato’s quality from the color, size, and shape of the tomato. The decisions are based on using the decision tree and Autoencoder. The testing result shows that the proposed controller has satisfying performance. It can make decisions with an accuracy rate of 90%.
Authors
- Suppakarn Chansareewittaya (ORCID: https://orcid.org/0000-0003-3544-6160)
- Teeravisit Laohapensaeng
- Budsaya Laohapensaeng
Institutions
- Mae Fah Luang University (TH)
Publication Details
- Published
- 2024-11-14
- DOI
- https://doi.org/10.1109/incit63192.2024.10810518
- Primary Topic
- Agricultural Practices and Plant Genetics
- Type
- article
- Field-Weighted Citation Impact
- 0.00