Classification of Fertilizer Using OpenCV Based on Color Characteristic

Wulandari, Meirista Classification of Fertilizer Using OpenCV Based on Color Characteristic. IOP Conference Series: Materials Science and Engineering.

Text Shannich_Charlie_2020_IOP_Conf._Ser. _Mater._Sci._Eng._1007_012053.pdf Download (621kB)

Abstract

The agricultural industry is one of the most important sectors for a country because its supports food production. One of the agricultural industries that can increase food productivity is the fertilizer industry. Fertilizers have many varieties. The variant of a fertilizer can be identified by its color. There are 3 types of fertilizers such as NPK fertilizer, Calcium fertilizer and Potassium fertilizer. These fertilizers have different colors. NPK fertilizer has blue color, Calcium fertilizer has yellow color and Potassium fertilizer has red color. Red, Green, Blue (RGB) color spaces and Hue, Saturation, Value (HSV) color spaces are used as extraction of color features on fertilizers which used as fertilizer color features. The color characteristic of the fertilizer is used to classify fertilizer. This paper aims to classify fertilizer based on its color. Fertilizers that have been successfully classified are displayed on the monitor screen. There are 75 fertilizer samples which consists of 3 types of fertilizers and 25 samples for each type of fertilizer used in this paper. Test results show that fertilizer can successfully identified 3 types of fertilizer based on its color. The value accuracy is obtained 100% in the RGB color with the range of RGB color are (40,60,70) to (120,160,170) for NPK fertilizer, (140,120,20) to (210,210,100) for Calcium fertilizer and (20,50,0) to (150,180.20) for Potassium fertilizer.

Item Type:	Article
Subjects:	Artikel
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	Puskom untar untar
Date Deposited:	12 Apr 2023 04:12
Last Modified:	12 Apr 2023 04:12
URI:	http://repository.untar.ac.id/id/eprint/39391

Actions (login required)

View Item