References
- Mohebbi, M.; Akbarzadeh, T.M.-R.; Shahidi, F.; Moussavi, M.; Ghoddusi, H.-B. Computer Vision Systems (CVS) for Moisture Content Estimation in Dehydrated Shrimp. Computers and Electronics in Agriculture 2009, 69(2), 128–134.
- Nollet, L.M.; Toldrá, F. Handbook of Seafood and Seafood Products Analysis; CRC Press: Boca Raton, New York, 2010.
- Rehbein, H.; Oehlenschlager, J. Fishery Products: Quality, Safety, and Authenticity; John Wiley & Sons: London, UK, 2009.
- Ghasemi-Varnamkhasti, M.; Mohtasebi, M.M.; Rodriguez-Mendez, M.L.; Gomes A. A.; Araújo, M.C.U.; Galvão, R. K.H. Screening Analysis of Beer Ageing Using Near Infrared Spectroscopy and the Successive Projections Algorithm for Variable Selection. Talanta 2012, 89, 286–291.
- Ghasemi-Varnamkhasti, M.; Forina, M.; NIR Spectroscopy Coupled with Multivariate Computational Tools for Qualitative Characterization of the Aging Of Beer. Computers and Electronics in Agriculture 2014, 100, 34–40.
- Luzuriaga, D.; Balaban, M. Evaluation of the Odor of Decomposition in Raw and Cooked Shrimp: Correlation of Electronic Nose Readings, Odor Sensory Evaluation, and Ammonia Levels. In Electronic Noses and Sensor Array Based Systems Design and Applications; Technomic: Lancaster, PA, USA, 1999.
- Dowlati, M.; de la Guardia, M.; Dowlati, M.; Mohtasebi, S.S. Application of Machine-Vision Techniques to Fish-Quality Assessment. TrAC Trends in Analytical Chemistry 2012, 40, 168–179.
- Nagalakshmi, S.A.; Mitra, P.; Meda, V.; Color, Mechanical, and Microstructural Properties of Vacuum Assisted Microwave Dried Saskatoon Berries. International Journal of Food Properties 2014, 17(10), 2142–2156.
- Nirmal, N.P.; Benjakul, S. Effect of Catechin and Ferulic Acid on Melanosis and Quality of Pacific White Shrimp Subjected to Prior Freeze–Thawing During Refrigerated Storage. Food Control 2010, 21(9), 1263–1271.
- Shafiee, S.; Minaei, S.; Moghaddam-Charkari, N.; Barzegar, M. Honey Characterization Using Computer Vision System and Artificial Neural Networks. Food Chemistry 2014, 159, 143–150.
- Sun, H.; Lv, H.; Yuan, G.; Fang, X. Effect of Grape Seed Extracts on the Melanosis and Quality of Pacific White Shrimp (Litopenaeus vannamei) During Iced Storage. Food Science and Technology Research 2014, 20(3), 671–677.
- Zhang, D.; Lillywhite, K.D.; Lee, D.-J.; Tippetts, B.J. Automatic Shrimp Shape Grading Using Evolution Constructed Features. Computers and Electronics in Agriculture 2014, 100, 116–122.
- Poonnoy, P.; Yodkeaw, P.; Sriwai, A.; Umongkol, P.; Intamoon, S. Classification of Boiled Shrimp’s Shape Using Image Analysis and Artificial Neural Network Model. Journal of Food Process Engineering 2014, 37, 257–263.
- Luzuriaga, D.A.; Balaban, M.O.; Yeralan, S. Analysis of Visual Quality Attributes of White Shrimp by Machine Vision. Journal of Food Science 1997, 62(1), 113–118.
- Du, C.; Sun, D. Comparison of Three Methods for Classification of Pizza Topping Using Different Colour Space Transformations. Journal of Food Engineering 2005, 68, 277–287.
- Brosnan, T.; Sun, D.W. Improving Quality Inspection of Food Products by Computer Vision—A Review. Journal of Food Engineering 2004, 61(1), 3–16.
- Gonzalez, R.C.; Woods, R.E.; Eddins, S. Morphological Image Processing. Digital Image Processing 2008, 3, 627–688.
- Tauler, R.; Walczak, B.; Brown, S. Comprehensive Chemometrics; Elsevier: Amsterdam, the Netherlands, 2009.
- Masniyom, P.; Benjama, O.; Maneesri, J. Extending the Shelf-Life of Refrigerated Green Mussel (Perna Viridis) Under Modified Atmosphere Packaging. Sonklanakarin Journal of Science and Technology 2011, 33(2), 171–178.
- Okpala, C.O.; Choo, W.S.; Dykes, G.A. Quality and Shelf Life Assessment of Pacific White Shrimp (Litopenaeus Vannamei) Freshly Harvested and Stored on Ice. LWT 2014, 55, 110–116.
- Huidobro, A.; López-Caballero, M.; Mendes, R. Onboard Processing of Deepwater Pink Shrimp (Parapenaeus Longirostris) with Liquid Ice: Effect on Quality. European Food Research and Technology 2002, 214(6), 469–475.
- Harper, A.M.; Duewer, D.L.; Kowalski, B.R.; Fashing, J.L. ARTHUR and Experimental Data Analysis. In Chemometrics: Theory and Applications, ACS Symposium Series 52; Kowalski, B.R.; Ed.; American Chemical Society Publisher: New York, NY, USA, 1977.
- Quinlan, R. Discovering Rules From Large Collections of Examples: A Case Study. In Expert Systems in the Micro-electronic Age; Michie, D.; Ed.; Edinburgh University Press: Edinburgh, Scotland, 1979; 168–201.
- Breiman, L.; Friedman, J.H.; Olshen, R.A. Stone, C.J. Classification and Regression Trees; Wadsworth: Belmont, CA, 1983.
- Heidarbeigi, K.; Mohtasebi, S.; Foroughirad, A.; Ghasemi-Varnamkhasti, M.; Rafiee, S.; Rezaei, K. Detection of Adulteration in Saffron Samples Using Electronic Nos. International Journal of Food Properties 2015, 18, 1391–1401.
- Dowlati, M.; Mohtasebi, S.S.; Omid, M.; Razavi, S.H.; Jamzad, M.; de la Guardia, M. Freshness Assessment of Gilthead Sea Bream (Sparus Aurata) by Machine Vision Based on Gill and Eye Color Changes. Journal of Food Engineering 2013, 119(2), 277–287.