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...
Guardat en:
| Autor principal: | |
|---|---|
| Autor corporatiu: | |
| Format: | Thesis Software eBook |
| Idioma: | English |
| Publicat: |
Perlis, Malaysia
School of Mechatronic Engineering, Universiti Malaysia Perlis
2017
|
| Matèries: | |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
| Sumari: | 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. |
|---|---|
| Descripció física: | 1 CD-ROM 12 cm |
| Bibliografia: | Includes bibliographical references. |