PENERAPAN IMAGE PROCESSING UNTUK MENGETAHUI TINGKAT KEMATANGAN BUAH TOMAT

LADIPI, INFANA AYU and Rejo, Amin and Kuncoro, Endo Argo (2019) PENERAPAN IMAGE PROCESSING UNTUK MENGETAHUI TINGKAT KEMATANGAN BUAH TOMAT. Undergraduate thesis, Sriwijaya University.

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Abstract

This study aims to apply image processing techniques in determining the level of fruit maturity based on color, and to determine the relationship of color to changes in physical and chemical properties in Servo F1 varieties of tomatoes. This research has been conducted at the Laboratory of Agricultural Product Chemistry, Department of Agricultural Technology, Faculty of Agriculture, Sriwijaya University, Indralaya. This research was conducted in February 2019 until July 2019. This study used a descriptive method. The parameters measured are color, texture, moisture content, total sugar and total acid. The results showed that the use of image processing methods can help the process of fruit sorting by looking at the relationship between the percentage of red color with the age of picking, physical and chemical properties of the fruit. The percentage of tomato fruit red color on average ranged from 5.99% for SBM picking age 25+1 days, 36.3% for SBM picking age 29+1 days, 67.41% for SBM picking age 32+1 days, and 76.85% for picking age 35+1 SBM days. The coefficient of determination of the relationship between the percentage of red color with the age of picking, texture, water content, total sugar, and total acid were 0.959, 0.908, 0.902, 0.835 and 0.750, respectively. Keywords : Tomatoes, postharvest, sorting, image processing.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Tomat, pascapanen, sortasi, pengolahan citra.
Subjects:	S Agriculture > S Agriculture (General) > S1-(972) Agriculture (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.A48 Image processing. T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.B35 Image processing--Digital techniques. Pattern recognition systems
Divisions:	05-Faculty of Agriculture > 41201-Agricultural Engineering (S1)
Depositing User:	Users 4381 not found.
Date Deposited:	21 Jan 2020 08:18
Last Modified:	21 Jan 2020 08:18
URI:	http://repository.unsri.ac.id/id/eprint/24742

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