Rapid and Non-destructive Determination of Moisture Content of Peanut Kernels Using Hyperspectral Imaging Technique

2015 ◽  
Vol 8 (10) ◽  
pp. 2524-2532 ◽  
Author(s):  
Huali Jin ◽  
Linlin Li ◽  
Junhu Cheng
Author(s):  
Zheli Wang ◽  
Shuxiang Fan ◽  
Jingzhu Wu ◽  
Chi Zhang ◽  
Fengying Xu ◽  
...  

2011 ◽  
Vol 19 (5) ◽  
pp. 401-409 ◽  
Author(s):  
Christian R. Mora ◽  
Laurence R. Schimleck ◽  
Seung-Chul Yoon ◽  
Chi N. Thai

Author(s):  
Zhen Zhu ◽  
Tiansheng Li ◽  
Jing Cui ◽  
Xiaoyan Shi ◽  
Jianhua Chen ◽  
...  

2016 ◽  
Vol 2 (3) ◽  
pp. 127-137
Author(s):  
Hasan Ibrahim Kozan ◽  
Cemalettin Sariçoban ◽  
Hasan Ali Akyürek ◽  
Ahmet Ünver

Nowadays, the concern of meat consumption, safety and quality has been popular due to some health risks such coronary heart disease, stroke and diabetes caused by the content as saturated fat, cholesterol content and carcinogenic compounds, for consumers. The importance of the need of new non-destructive and fast meat analyze methods are increasing day by day.  For this, researchers have developed some methods to objectively measure the meat quality and meat safety as well as illness sources. Hyperspectral imaging technique is one of the most popular technology which combines imaging and spectroscopic technology. This technique is a non-destructive, real-time and easy-to-use detection tool for meat quality and safety assessment. It is possible to determine chemical structure and related physical properties of meat.It is clear that hyperspectral imaging technology can be automated for manufacturing in meat industry and all of data’s obtained from the hyperspectral images which represents the chemical quality parameters of meats in the process can be saved to database. 


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