naa a22 4500 510725147 CHVBK 20180411082932.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11947-013-1079-7 doi (NATIONALLICENCE)springer-10.1007/s11947-013-1079-7 Potential of Machine Vision Techniques for Detecting Fecal and Microbial Contamination of Food Products: A Review [Elektronische Daten] [M. Teena, A. Manickavasagan, A. Mothershaw, S. El Hadi, D. Jayas] Consumption of mycotoxin-contaminated agricultural and food products has caused adverse human health effects for many centuries. Although mycotoxin contamination of agricultural products still occurs, application of innovative agricultural practices, food processing, and handling techniques has greatly reduced consumer exposure to mycotoxins. This paper reviews recent developments and potential applications of machine vision systems in replacing current labor-intensive, time-consuming methods by providing a quick, accurate, and low-cost alternative for detecting microbial and fecal contaminants in fresh and processed foods. The basic principles and components of the machine vision system are also discussed. Springer Science+Business Media New York, 2013 Computer vision nationallicence Fungal infection nationallicence Mycotoxin nationallicence NIR hyperspectral imaging nationallicence Thermal imaging nationallicence X-ray imaging nationallicence Teena M. Department of Soils, Water and Agricultural Engineering, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut Manickavasagan A. Department of Soils, Water and Agricultural Engineering, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut Mothershaw A. Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut El Hadi S. Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut Jayas D. Department of Biosystems Engineering, University of Manitoba, R3T5V6, Winnipeg, MB, Canada aut Food and Bioprocess Technology Springer-Verlag 6/7(2013-07-01), 1621-1634 1935-5130 6:7<1621 2013 6 11947 https://doi.org/10.1007/s11947-013-1079-7 text/html Onlinezugriff via DOI 1 review-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11947-013-1079-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Teena M. Department of Soils, Water and Agricultural Engineering, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut NATIONALLICENCE 700 1- Manickavasagan A. Department of Soils, Water and Agricultural Engineering, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut NATIONALLICENCE 700 1- Mothershaw A. Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut NATIONALLICENCE 700 1- El Hadi S. Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.B. No. 34, PIN 123, Al-Khoud, Sultanate of Oman aut NATIONALLICENCE 700 1- Jayas D. Department of Biosystems Engineering, University of Manitoba, R3T5V6, Winnipeg, MB, Canada aut NATIONALLICENCE 773 0- Food and Bioprocess Technology Springer-Verlag 6/7(2013-07-01), 1621-1634 1935-5130 6:7<1621 2013 6 11947 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer