Tomato Classifying Based On IoT System

Antoyo, Antonius Andreyawan (2019) Tomato Classifying Based On IoT System. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Sorting activity is important and beneficial for agriculture, especially for crops sorting. However the sorting process must be done automatically so the sorting result is acquired effectively. Besides that the sorting time is done quickly. This research has a purpose to developing automatically sorting tomatoes based on the tomatoes' ripeness, there are ripe, half-ripe and unripe. The ripeness level is based on the tomato's color. To be able to read tomato's color, TCS3200 sensor is used. This project uses two methods to classifying the tomatoes, using RGB and grayscale value. Besides that, this device is based on IOT, and the classified tomatoes result can be seen on the website. The result of this project is the sorting time for one tomato until the data is saved to the database is 6 seconds, though the time to sorting only is 4 seconds. The test is done 600 times resulting 96% accuracy level using grayscale method, while using RGB method resulting 87% accuracy. The result of the classified tomatoes later can be seen on the website. Keyword: arduino, rgb, grayscale, iot.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 16 Oct 2019 03:01
Last Modified: 29 Sep 2020 07:15
URI: http://repository.unika.ac.id/id/eprint/19867

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