An intelligent decision support system for the detection of meat spoilage using multispectral images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-016-2296-6/fulltext.html
Reference38 articles.
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2. Amamcharla JK, Panigrahi S, Logue CM, Marchello M, Sherwood JS (2010) Fourier transform infrared spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef. Sens Instrum Food Qual Saf 4(1):1–12
3. Meisel S, Stöckel S, Rösch P, Popp J (2014) Identification of meat-associated pathogens via Raman microspectroscopy. Food Microbiol 38:36–43
4. Balasubramanian S, Panigrahi S, Logue CM, Gu H, Marchello M (2009) Neural networks integrated metal oxide based artificial olfactory system for meat spoilage identification. J Food Eng 91:91–98
5. Tan JL (2004) Meat quality evaluation by computer vision. J Food Eng 61:27–35
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