Abstract
The aim for this study is to develop a simulation of an automated Peruvian avocado classification system based on computer vision. In order to develop the computer vision process, the principle of learning by transfer was analyzed and a flowchart for Factory IO and TIA Portal simulation was created. An environmental system simulation was procured through the software Factory IO, as well as image processing through the Teachable Machine software. Whereby, the characteristics of the three avocado varieties were introduced, and the system had the ability to select the avocados with the data. In conclusion, the current design optimized the process by automatizing the selection and storage of the avocados reducing the execution time for both processes.
| Original language | American English |
|---|---|
| Title of host publication | International Conference on Electrical, Computer, and Energy Technologies, ICECET 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331535599 |
| DOIs | |
| State | Indexed - 2025 |
| Event | IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025 - Paris, France Duration: 3 Jul 2025 → 6 Jul 2025 |
Publication series
| Name | International Conference on Electrical, Computer, and Energy Technologies, ICECET 2025 |
|---|
Conference
| Conference | IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 3/07/25 → 6/07/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- agriculture
- automation
- Simulation
- sorting
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