Multi sensor system for classifying harumanis mango based on external and internal quality/
The main objective of this thesis is to develop a system using machine vision and NIR spectrometer for classifying Harumanis mango based on its shape, mass and TSS. The objectives of this research are divided and addressed as below; to develop 3-Dimensional image acquisition technique for capturing...
保存先:
| 第一著者: | |
|---|---|
| 団体著者: | |
| フォーマット: | 学位論文 ソフトウェア eBook |
| 言語: | English |
| 出版事項: |
Perlis, Malaysia
School of Mechatronic Engineering, Universiti Malaysia Perlis
2017
|
| 主題: | |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | The main objective of this thesis is to develop a system using machine vision and NIR spectrometer for classifying Harumanis mango based on its shape, mass and TSS. The objectives of this research are divided and addressed as below; to develop 3-Dimensional image acquisition technique for capturing image of the mango on a moving conveyor; to analyse the Harumanis mango features and classify the mango based on the shape and mass; to analyse the total soluble solid (TSS) of the mango using Near Infrared (NIR) spectrometer. |
|---|---|
| 物理的記述: | 1 CD-ROM 12 cm |
| 書誌: | Includes bibliographical references. |