Edible bird nest shape quality assessment using machine vision system
Link to publisher's homepage at http://ieeexplore.ieee.org
Saved in:
Main Authors: | Fathinul Syahir, Ahmad Sa'ad, Ali Yeon, Md Shakaff, Prof. Dr., Ammar, Zakaria, Mohd Zulkifly, Abdullah, Dr., Abdul Hamid, Adom, Prof. Dr, Ezanuddin, A. A. M. |
---|---|
Other Authors: | fathinul@unimap.edu.my |
Format: | Working Paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2013
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/26781 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bird nest shape quality assessment using machine vision system
by: Fathinul Syahir, Ahmad Sa'ad, et al.
Published: (2012) -
Morphological and transcriptome characterisation of salivary glands of edible bird nests-producing swiftlets
by: Looi, Qi Hao
Published: (2016) -
Chemical composition and authenticity of selected edible bird nest in Malaysia and Indonesia
by: Nur Hulwani, Ibrahim
Published: (2019) -
Nutritional analysis, metabolomics and proteomics of edible bird nest from different georaphical regions of Malaysia
by: Zulkifli, Danish Adli
Published: (2018) -
Characterization of house and cave bird's nest in Malaysia and optimization of a bird's nest-based gel-like ready-to-drink product
by: Yap, Kim Chung
Published: (2020)