| Issue |
MATEC Web Conf.
Volume 97, 2017
Engineering Technology International Conference 2016 (ETIC 2016)
|
|
|---|---|---|
| Article Number | 01058 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/20179701058 | |
| Published online | 01 February 2017 | |
Absorbance and Transmittance Capability of Mangoes, Grape and Orange in NIR Region
1 Semiconductor Photonics & Integrated Lightwave Systems (SPILS), School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Main Campus, 02600 Arau Perlis, Malaysia
2 Department of Electrical and Electronic Engineering, Faculty of Engineering, National Defence University of Malaysia (UPNM), Kem Sungai Besi, 57000 Kuala Lumpur
* Corresponding author: mhalim@unimap.edu.my
This paper focuses on the usage of absorption and transmission properties in the near infra red (NIR) spectrum for quality monitoring of fruits particularly mangoes, grapes and oranges. These three fruits are classified into climacteric and non-climacteric, and analyzed in terms of its absorbance and transmittance capabilities. Experimental works are mainly performed in the study with some preliminary results in fruit ripeness detection. In comparison, climacteric fruits are less tendencies to absorb or transmit light. The non-climacteric fruits display more absorptive power and higher transmission ability. Grape populated as the best in this work due to its thinner and partially transparent skin. Absorbance in grapes starts as early as at 365 nm. Grapes also shows a slight increase in its spectra due to volume of the seeds. However, it does not observed in oranges because the seeds volume is smaller than the total volume of orange. Unriped mangoes give the smallest transmittivity.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.