Mohd Khairul, Syawal Fikri (2016) Fruit Size And Color Maturity Identification Using Raspberry Pi. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Fruit Size And Color Maturity Identification Using Raspberry Pi.pdf - Submitted Version Download (771kB) |
Abstract
Color and size are features used to accurately classify fruits according to its maturity. The process is normally done manually. The process is repetitive, tiresome and therefore prone to human error. The Malaysian Federal Agricultural Marketing Authority (FAMA) has set six indexes to classify fruit maturity. A machine vision system using Raspberry Pi is developed to determine the size of the fruit and color maturity. The system is able to calculate the approximate size of the fruit. The system is also able to detect the maturity of the fruit through color by using K-means clustering for further grading process.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Agricultural industries, Image processing -- Digital techniques, Microcontrollers, Raspberry Pi (Computer), Computer vision |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Library > Final Year Project > FTK |
| Depositing User: | Mohd Hannif Jamaludin |
| Date Deposited: | 19 Feb 2018 06:13 |
| Last Modified: | 19 Feb 2018 06:13 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/20333 |
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