Plagiasi Identification Growth Quality of Red Onion during Planting Period using Support Vector Machine

Rohman, Dijaya Plagiasi Identification Growth Quality of Red Onion during Planting Period using Support Vector Machine. Journal of Physics: Conference Series.

Text sktp-16-12-2021 10_17_38-16025 (1).pdf Download (1MB)

Abstract

Shallot (Allium ascalonicum L) is a type of horticultural crop which is one of the leading vegetable commodities that is widely cultivated by farmers in Indonesia. Identification of the quality of growth of onions can be known from the size, colour and texture. This study focuses on identify the quality of the growth of shallots using Support Vector Machine (SVM) classifier. The data used in this study are 100 images of 48-day-old Bauji variety onions divided into two classes, good quality onions and poor quality onions. The pre-processing produce higher quality images based on edge detection, dilation, erosion and colour channel changes for feature extraction. Feature extraction based on HSI colour and GLCM texture to identify the quality of the onion Furthermore value of the feature extraction will be input calculation from the SVM classifier. The experiment shows that the best result can be using combination HSI and

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Rohman Dijaya
Date Deposited:	10 Aug 2023 09:02
Last Modified:	10 Aug 2023 09:02
URI:	http://eprints.umsida.ac.id/id/eprint/12207

Actions (login required)

View Item