Data Fusion Approaches as a Novel Strategy in Multivariate Analysis of Spectroscopic and Spectral Imaging Information for Non-destructive Food Microbial and Fungal Assessment
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 507
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شناسه ملی سند علمی:
NCAMEM12_005
تاریخ نمایه سازی: 7 فروردین 1399
چکیده مقاله:
Microbial and fungal contamination of agricultural products as major safety challenges are known in recent years. Non-destructive methods for food quality assessment are warmly welcomed by the food industry. Spectroscopic and optical methods provide a large variety of measurement techniques like optical and near-infrared spectroscopy and imaging which have especially high potential for various food quality assessment. The integration of data and knowledge from several sources is known as data fusion. Data fusion approaches have been introduced as powerful and novel strategies for obtaining more reliable authentication models with respect to the results showed using each method separately. In this paper, we have shortly described the data fusion principles and the most prominent application examples in this rapidly growing strategy of knowledge in microbial and fungal quality assessment of agricultural food products.
کلیدواژه ها:
نویسندگان
Sahar Rahi
Department of Agricultural Machinery Engineering, University of Tehran, Tehran, Iran
Hossein Mobli
Department of Agricultural Machinery Engineering, University of Tehran, Tehran, Iran
Aslan Azizi
Agricultural Engineering Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran
Mohammad Sharifi
Department of Agricultural Machinery Engineering, University of Tehran, Tehran, Iran