Imaging techniques in Agro-industry and their applications, a review

被引:0
作者
Mudasir Yaqoob
Savita Sharma
Poonam Aggarwal
机构
[1] Punjab Agricultural University,Department of Food Science and Technology
[2] Lovely Professional University,Department of Food Science and Nutrition
来源
Journal of Food Measurement and Characterization | 2021年 / 15卷
关键词
Imaging; Food safety; Food processing; Quality; Spectroscopy; Software;
D O I
暂无
中图分类号
学科分类号
摘要
In both developing and developed countries, food quality, safety and food production is receiving maximum attention. The food production includes all the processes from receiving of the raw materials to the finished product. The food safety and quality implies a biological, chemical, and physical adulteration and other associated hazards. Quality assessment again is an important concept nowadays which is mostly performed manually; which can have errors. To overcome these limitations, new fast, environment friendly and economical techniques are sought. Imaging techniques have become more popular in food processing industry. The imaging technology takes the utilization of hardware to obtain the real-time image and software to process the images so that useful information from them can be extracted for food processing control and food safety analysis. The scanning methods mostly implied in the food industries include hyper-spectral, magnetic resonance, thermal and X-ray imaging. This technology has boosted the detection of foreign bodies, maturity evaluation of fruits, bruise detection of fruits, determination of fruit yield, fractal analysis and many other quality parameters associated with the food. The current review gives the general overview of various imaging techniques and their applications in the Agro- processing industry.
引用
收藏
页码:2329 / 2343
页数:14
相关论文
共 312 条
[1]  
Feroz F(2019)Emerging technologies for food safety: high pressure processing (HPP) and cold plasma technology (CPT) for decontamination of foods Bangladesh Journal of Microbiology 36 35-43
[2]  
Nafisa S(2019)Convolutional neural network for automated FLAIR lesion segmentation on clinical brain MR imaging Am. J. Neuroradiol. 40 1282-1290
[3]  
Noor R(2013)Application of computer vision system in food processing Int. J. Eng. Res. Appl. 3 1197-1205
[4]  
Duong MT(2017)Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with effective variable selection methods Food Chem. 221 1989-1996
[5]  
Rudie JD(2017)Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products Food Bioprocess Technol. 10 1-33
[6]  
Wang J(2012)Application of hyperspectral imaging in food safety inspection and control: a review Critic. Rev. Food Sci. Nutr. 52 1039-1058
[7]  
Xie L(2004)Consumer attitudes, knowledge and behaviour: a review of food safety issues Trends Food Sci. Technol. 15 56-66
[8]  
Mohan S(2017)Hyperspectral imaging technique for evaluating food quality and safety during various processes: a review of recent applications Trends Food Sci. Technol. 69 25-35
[9]  
Gee JC(2013)Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety TrAC Trends Anal. Chem. 52 261-274
[10]  
Rauschecker AM(2012)Hyperspectral imaging techniques applied to the monitoring of wine waste anaerobic digestion process Opt. Eng. 633 111708-84