This study deals with the construction of a device that uses Arduino to assist in the classification of tomatoes for catsup production. The method intends to identify the tomato that is ideally adapted for Ketchup production, for improved product consistency. Using Arduino, the device can sense tomato resistance and check whether the frequency resistance for Catsup tomato is below the threshold. The device should be able to determine from this method whether or not its better suited for Catsup production.
CITATION STYLE
Sarraga Alon, A. (2020). Lyco-Frequency: A Development of Lycopersicon Esculentum Fruit Classification for Tomato Catsup Production Using Frequency Sensing Effect. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 4690–4695. https://doi.org/10.30534/ijatcse/2020/72942020
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