Wachid, Kurniawan Putra (2023) Sistem Pendeteksi Kematangan Cabai Menggunakan Metode Color Histogram Dan Nearest Neighbor. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.
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Abstract
Chili is a highly sought after commodity in Indonesia, data from Indonesia Bureau of Statistic state that in 2020 Indonesia consumes 490,083 tons of chili whilst its domestic farm produce only 177,91 tons could not fulfill the demand of chill. One of the way to increase chili production is to implement smart farming on the farmland, lately there is an increase in smart farming popularity mainly the technology of IOT, GIS, and Image Processing Image Processing can be used to increase the production of chili by diffrenciate the image of ripe chili and unripe chili and using software image processing can be used to create a chili maturity classification system using K-Nearest Neighbor algorithm and Euclidean Distance as a way to calculate the distance, after testing the system have accuracy of 93% precision value of 93,87% and recall of 92% as the system can generally diffrenciate ripe chill and unripe chilli effectively Keyword: Chili, Smart Farming, Image P, K-NN, Euclidean Distance
Item Type: | Thesis (Undergraduate Thesis) |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering |
Depositing User: | pustakawan ittp |
Date Deposited: | 14 Mar 2023 05:36 |
Last Modified: | 14 Mar 2023 05:36 |
URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/9027 |
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