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...
Gorde:
| Egile nagusia: | |
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| Erakunde egilea: | |
| Formatua: | Thesis Software eBook |
| Hizkuntza: | English |
| Argitaratua: |
Perlis, Malaysia
School of Mechatronic Engineering, Universiti Malaysia Perlis
2017
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| Gaiak: | |
| Etiketak: |
Etiketa erantsi
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| Gaia: | 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. |
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| Deskribapen fisikoa: | 1 CD-ROM 12 cm |
| Bibliografia: | Includes bibliographical references. |