Open Access Open Access  Restricted Access Subscription or Fee Access

Implementation of Grain Sorting System Using Raspberry Pi

Anita M. Jadhav, Makarand N. Kakatkar


Today, India ranks second worldwide in agriculture. There is production like rice, sugar, wheat, Bajara Etc. So it is to monitor and control their quality according to their size, color and chalkiness for the packaging section. Product value of agriculture product depends on its quality and value .So quality becomes dominant factor in the agricultural production .There is system that measures the quality of product as the testing done by human ,so it is not reliable at all-time of its working hour because of the human limits .So we have developed the embedded solution with the help of image processing to do sorting of the grains .Here their quality can be estimated using the simultaneously taking frames and applying the image processing algorithm for that frame and get results as the quality of the grains. Raspberry PI is suitable for adaptive technology. For the testing purpose we have selected the rice as testing product and testing parameters are the whiteness, size, physical defect and color defects.


Raspberry Pi, Image Processing, Matplotlib, Blob Analysis.

Full Text:



Dollawat Ngampak, Punpiti Piamsa-nga,“Image analysis of Broken Rice grains of Khao Dawk Mali rice”, Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Jatujak, Bangkok,10900, Thailand, 978-1-4799-6049-1/15/$31.00 ©2015 IEEE.

Jyoti D. Bambole, Prof. K. A. Ghodinde, “Evalution of Chalkiness in Basmati Rice by Virtual Instrumentation”, Department of Instrumentation and Control, College of Engineering, Pune, 978-1-4799-9855-5/15/$31.00©2015 IEEE.

Qidi Zhao, Yang Yu, Jianhui Song, Guang Zhou “Intelligent system for monitoring and controlling of the grain condition based on ARM9”School of Information Science and Engineering, Shenyang LigengUniversity,Shenyang110159,978-1-4799-3708-0/14/$31.00©2014 IEEE.

Maier, Channaiah, Martinez-Kawas, et-al, “Monitoring carbon dioxide concentration for early detection of spoilage in stored grain”, Department of Grain Science and Industry, Manhattan, Kansas, 2010: 425-332.

] Zhao Ping, LI Yongkui, “Grain Counting Method based on Image Processing, Engineering College Shenyang Agricultural University, Shenyang, China, 978-1-4244-1/09/$25.00 ©2009 IEEE.

Bhagyashree Mahale, Prof. Sapana Korde, ”Rice Quality Analysis Using Image Processing Techniques”, Department Of Instruction And Control, College of Engineering, Pune, India, © International Conference for Convergence of Technology.

N. Senthil Kumaran, R. Rajesh, “Edge Detection Techniques for Image Segmentation and A Survey of Soft Computing Approaches”, International Journal of Recent Trends in Engineering, Vol. 1, No. 2, PP.250, 254, May 2009.

Chetna V. Maheshwari, Kavindra R. Jain, Chintan K. Modi, “Non-destructive Quality analysis of Indian Basmati Oryza Sativa SSP Indica(Rice) Using Image Processing”, G.H. Patel College of Engineering and Technology, Vallabh Vidyanagar, India, @2012 International Conference on Communication Systems and Networks Technologies.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.