Scholarly record
ROBOTIC COMPLEX FOR AGRICULTURAL PRODUCTS SORTING
Abstract
The article contains information on methods of agricultural products quality control, as well as on the model of a robotic complex designed for sorting potatoes. A distinctive feature of the proposed complex is using the methods of active non-destructive thermal control and technology of technical vision in the visible range of the electromagnetic spectrum, as well as in the near (NIR) and middle (MIR) ranges of the infrared spectrum. The complex is based on using a roller conveyor providing rotational and translational movement of potato tubers through control zones, which also include units of active thermal and ultraviolet effect. All elements of the complex are designed in such a way that the reflected radiation from them is minimized. The regime parameters of heat effect are chosen by using mathematical modeling methods and the results of experimental determination of the thermophysical characteristics of both healthy plant potato tissues and tissues which have damaged zones obtained as a result of phyto-diseases or mechanical influences. The complex will allow detecting both surface and subsurface defects with a probability of not less than 90 %.
Publication Impact Profile
Publication details
References8
Fito P.J., Ortolá M.D., De los Reyes R., Fito P., De los Reyes E., Control of citrus surface drying by image analysis of infrared thermography, J. Food Eng., 2004, vol. 61 (3), pp 287-290.
Divin A.G., Ponomarev S.V., Churikov A.A., Gromov J.J., Lyubimova D.A., Thermal control of plant agricultural products, International Multidisciplinary Scientific Surveying Geology and Mining Ecology Management, SGEM, 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, vol. 17/issue 61, pp 1175-1182, 2017.
Ji Ma , Da-Wen Sun , Jia-huan Qu , Dan Liu , Hongbin Pu , Wen-hong Gao, Xin-an Zeng, Applications of computer vision for assessing quality of agri-food products: a review of recent research advances, Critical Reviews in Food Science and Nutrition, vol. 56/issue 1, pp 113-127, 2014.
Lyubimova D.A., Ponomarev S.V., Divin A.G., Measurements of the thermal characteristics of materials by regular mode methods of the third kind, Measurement Techniques, vol. 57/issue 12, pp 1423-1429, 2015.
Yuan-Yuan Pu, Yao-Ze Feng, Da-Wen Sun, Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review. Comprehensive Reviews in Food Science and Food Safety, vol. 14, pp 176-188, 2015
Lorente D, Aleixos N, Gómez-Sanchis J, Cubero S, García-Navarrete OL, Blasco J, Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment, Food and Bioprocess Technology, vol. 5, pp 1121-1142, 2011.
Baranowski P., Mazurek W.,Wozniak J., Majewska U., Detection of early bruises in apples using hyperspectral data and thermal imaging, Journal of Food Engineering, vol. 110/issue 3, pp 345–355, 2012.
Qiong Dai, Da-Wen Sun, Jun-Hu Cheng, Hongbin Pu, Xin-An Zeng, and Zhenjie Xiong, Recent Advances in De-Noising Methods and Their Applications in Hyperspectral Image Processing for the Food Industry, Comprehensive Reviews in Food Science and Food Safety, vol. 13, pp 1207-1218, 2014.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


