Rozaizie Shafiq Roujip (2022) Chili grading system using ANN approach. Universiti Malaysia Sabah. (Unpublished)
![[img]](https://eprints.ums.edu.my/style/images/fileicons/text.png) |
Text
Chili Grading System Using Ann Approach.24pages.pdf Download (217kB) |
|
Text
Chili Grading System Using Ann Approach.pdf Restricted to Registered users only Download (1MB) |
Abstract
New safe and quick methods for grading of fruits has become more potential and important to many areas. It is because the quality of fruit turns out to be an important factor for the consumer and it essential for marketing high uniform quality produce. At the present time, traditional grading methods still be use in Malaysia which is using the manual grading method that consumes more time. This problem can be solved if farmers change the way of method to the modern view which is using new technology that has been introduced by Federal Agricultural Marketing Authority (FAMA) and Ministry of Agriculture and Food Industries (MAFI). Recently, enterprises inclined to the grading system for increasing the working capacity and decreasing of working cost. The inconsistency associated with manual grading method is decrease when the grading system are used. The objective of study is to study the effectiveness of chili grading system. In this study, chili grading system by size and color texture using the image processing and artificial neural network techniques were studied. Not only that, in this research is to conduct a study to investigate the best method for chili grading. The assembled system has achieved research but it needs to be analyzed further.
| Item Type: | Academic Exercise |
|---|---|
| Keyword: | Agriculture , Chili , Ann approach |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28-9999 Industries. Land use. Labor > HD1401-2210 Agriculture Q Science > QK Botany > QK1-989 Botany |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | DG MASNIAH AHMAD - |
| Date Deposited: | 18 Jul 2022 11:08 |
| Last Modified: | 18 Jul 2022 11:08 |
| URI: | https://eprints.ums.edu.my/id/eprint/33199 |
Actions (login required)
 |
View Item |