DOI: 10.15507/2658-4123.032.202201.145-173
Basis of Developing Automated Machines with Digital Control Systems for Cultivating, Harvesting and Postharvest Processing of Vegetable Crops and Potatoes
Aleksey S. Dorokhov
Deputy Director on Scientific and Organizational Work, Federal Scientific Agroengineering Center VIM (5, 1st Institutskiy Proyezd, Moscow 109428, Russian Federstion), Corresponding Member of RAS, Dr.Sci. (Engr.), Professor, ORCID: https://orcid.org/0000-0002-4758-3843, Researcher ID: H-4089-2018, This email address is being protected from spambots. You need JavaScript enabled to view it.
Alexey V. Sibirev
Senior Researcher of the Department of Technology and Machines in Vegetable Production, Federal Scientific Agroengineering Center VIM (5, 1st Institutskiy Proyezd, Moscow 109428, Russian Federation), Dr.Sci. (Engr.), ORCID: https://orcid.org/0000-0002-9442-2276, Researcher ID: M-6230-2016, This email address is being protected from spambots. You need JavaScript enabled to view it.
Aleksandr G. Aksenov
Leading Researcher of the Department of Technology and Machines in Vegetable Production, Federal Scientific Agroengineering Center VIM (5, 1st Institutskiy Proyezd, Moscow 109428, Russian Federation), Dr.Sci. (Engr.), ORCID: https://orcid.org/0000-0002-9546-7695, Researcher ID: V-5572-2017, This email address is being protected from spambots. You need JavaScript enabled to view it.
Maxim A. Mosyakov
Senior Researcher of the Department of Technology and Machines in Vegetable Production, Federal Scientific Agroengineering Center VIM (5, 1st Institutskiy Proyezd, Moscow 109428, Russian Federation), Cand.Sci. (Engr.), ORCID: https://orcid.org/0000-0002-5151-7312, Researcher ID: A-8482-2019, This email address is being protected from spambots. You need JavaScript enabled to view it.
Nikolay V. Sazonov
Junior Researcher of the Department of Technology and Machines in Vegetable Production, Federal Scientific Agroengineering Center VIM (5, 1st Institutskiy Proyezd, Moscow 109428, Russian Federation), ORCID: https://orcid.org/0000-0002-4899-9197, Researcher ID: ABE-4241-2021, This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Introduction. The accelerated deployment of modern electronics contributes to the efficiency of agricultural activities. The aim of the study is to develop automated machines with digital control systems for cultivating, harvesting and post-harvest processing of vegetable crops and potatoes.
Materials and Methods. The article describes the technique of analytical studying the development of automated machines for cultivating, planting, harvesting and post-harvesting with automation in separate technological operations according to the technique of comprehensive assessment of performance quality and stability of technological operations on the basis of quantitative optimization criteria.
Results. It is found that for the development of control and monitoring system of the technological process, it is necessary to provide automatic adjustment of the main technological parameters of the machines. These parameters should include the uniformity of soil density when seeding down, recording the force impact of the working body on the soil layer below or above the specified limits of the soil density toleration, changing and maintaining the vibration frequency of separation intensifiers, identifying commercial products through the vision system in the form of a camera, respectively.
Discussion and Conclusion. The results of the study on the development of algorithms and hardware-software means of the functioning of automated machine individual elements have resulted in ensuring the implementation of automation segments on the main operations of crop production: tillage, seeding/planting, harvesting and post-harvest processing.
Keywords: agricultural machines, automation, digital control system, soil density, tillage depth, rotational speed, technical vision, quality indicators
Funding: The study was supported by the Council for Grants of the President of the Russian Federation SP-1004.2021.1.
The authors declare no conflict of interest.
For citation: Dorokhov A.S., Sibirev A.V., Aksenov A. G., et al. Basis of Developing Automated Machines with Digital Control Systems for Cultivating, Harvesting and Postharvest Processing of Vegetable Crops and Potatoes. Inzhenernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2022; 32(1):145-173. doi: https://doi.org/10.15507/2658-4123.032.202201.145-173
Contribution of the authors:
A. S. Dorokhov – formulation of the basic concept of research.
A. V. Sibirev – literary and patent analysis, preparation of the initial version of the text and formation of conclusions.
A. G. Aksenov – development of a research methodology.
M. A. Mosyakov – development of a block diagram.
N. V. Sazonov – software development.
All authors have read and approved the final manuscript.
Submitted 11.08.2021; approved after reviewing 26.10.2021;
accepted for publication 10.12.2021
REFERENCES
1. Azizi P., Dehkordi N.S., Farhadi R. Design, Construction and Evaluation of Potato Digger with Rotary Blade. Cercetari Agronomice in Moldova. 2014; (47):5-13. Available at: https://clck.ru/bnNAf (accessed 08.08.2021). (In Eng.)
2. Abd El-Rahman M.M.A. Development and Performance Evaluation of a Simple Grading Machine Suitable for Onion Sets. Journal of Soil Sciences and Agricultural Engineering. 2014; 2(2):213-226. (In Eng.) doi: https://doi.org/10.21608/jssae.2011.55418
3. Akdemir B., Ulger P., Arin S. Mechanized Panting and Harvesting of Onion. Agricultural Mechanization in Asia, Africa & Latin America. 1993; 24(4):23-26. Available at: https://www.researchgate.net/publication/289056030_Mechanized_panting_
4. Jothi Shanmugam C., Senthilkumar G. Indigenous Development of Low Cost Harvesting Machine. ARPN Journal of Engineering and Applied Sciences. 2017; 12(5):4489-4490. Available at: http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0817_6236.pdf (accessed 08.08.2021). (In Eng.)
5. Pasaman B., Zakharchuk V. The Determination of the Parameters of a Ploughshare-Rotor Potato Digger. ECONTECHMOD. 2012; (2):43-47. Available at: http://www.journals.pan.pl/dlibra/publication/98931/edition/85237/content (accessed 08.08.2021). (In Eng.)
6. Cubero S., Aleixos N., Moltó E., et al. Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables. Food and Bioprocess Technology. 2011; 4:287-502. (In Eng.) doi: https://doi.org/10.1007/s11947-010-0411-8
7. Dai F., Zhao W., Sun W. Design and Experiment of Combined Operation Machine for Potato Harvesting and Plastic Film Pneumatic Auxiliary Collecting. Transactions of the CSAM. 2018; 49(3):104-113. (In Eng.) doi: https://doi.org/10.6041/j.issn.1000-1298.2017.01.009
8. Devsh K., Ashok T. Performance Evaluation of Tractor Drawn Potato Digger Cum-Elevator. International Journal of Agricultural Science and Research. 2017; 7(2):433-448. Available at: https://www.academia.edu/34605957/PERFORMANCE_EVALUATION_OF_
9. Li Z., Li P., Yang H., Wang Y. Stability Tests of Two-Finger Tomato Grasping for Harvesting Robots. Biosystems Engineering. 2013; 116(2):163-170. (In Eng.) doi: https://doi.org/10.1016/j.biosystemseng.2013.07.017
10. Koga N., Kajiyama T., Senda K., et al. Energy Efficiency of Potato Production Practices for Bioethanol Feedstock in Northern Japan. European Journal of Agronomy. 2013; 44. (In Eng.) doi: https://doi.org/10.1016/j.eja.2012.07.001
11. Kang W.Q., Fan M., Ma Z., et al. Luxury Absorption of Potassium by Potato Plants. American Journal of Potato Research. 2014; 91:573-578. (In Eng.) doi: https://doi.org/10.1007/s12230-014-9386-8
12. Kalinin A.B., Smelik V.A., Teplinsky I.Z., Pervukhina O.N. Choice and Justification Parameters of Ecological State in the Agroecosystem for Monitoring Technology Process Growing Agricultural Crops. Izvestiya Sankt-Peterburgskogo gosudarstvennogo agrarnogo universiteta = Bulletin of the St. Petersburg State Agrarian University. 2015; (37):315-319. Available at: https://spbgau.ru/files/nid/3847/39.pdf (accessed 08.08.2021). (In Russ., abstract in Eng.)
13. Dorokhov A.S., Mosyakov M.A., Sazonov N.V. Automated Line for Post-Harvest Processing of Root Crops and Potatoes. Selskokhozyaystvennye mashiny i tekhnologii = Agricultural Machinery and Technologies. 2020; 14(1):22-26. (In Russ., abstract in Eng.) doi: https://doi.org/10.22314/2073-7599-2020-14-1-22-26
14. Dorokhov A.S., Sibiriev A.V., Aksenov A.G. Theoretical Studies of the Technological Process of a Rod Elevator with an Adjustable Inclination Angle of the Apron. Agrarnaya nauka Yevro-Severo-Vostoka = Agricultural Science Euro-North-East. 2020; 21(1):52-61. (In Russ., abstract in Eng.) doi: https://doi.org/10.30766/2072-9081.2020.21.1.52-61
15. Indraja D., Ajkhilesh J., Vishal P., et al. A Review Paper Based on Design and Development of an Onion Harvesting Machine. Journal of Information and Computational Science. 2019; 9(12):333-337. Available at: https://www.researchgate.net/publication/339201506 (accessed 08.08.2021). (In Eng.)
16. Massah J., Lotfi A., Arabhosseini A. Effect of Blade Angle and Speed of Onion Harvester on Mechanical Damage of Onion Bulbs. Agricultural Mechanization in Asia, Africa & Latin America. 2012; 43(3):60-63. Available at: https://www.researchgate.net/publication/287778155_Effect_of_Blade_Angle_and_Speed_
17. Edrris M.K., Al-Gaadi K.A., Hassaballa A.A., et al. Impact of Soil Compaction on the Engineering Properties of Potato Tubers. International Journal of Agricultural and Biological Engineering. 2020; 13(2):163-167. Available at: https://www.ijabe.org/index.php/ijabe/article/view/4818/pdf (accessed 08.08.2021). (In Eng.)
18. Asghar T., Ghafoor A., Munir A., et al. Design Modification and Field Testing of Groundnut Digger. Asian Journal of Science and Technology. 2014; 5(7):389-394. Available at: https://www.researchgate.net/publication/274373280_DESIGN_MODIFICATION_
19. Dorokhov A.S., Aksenov A.G., Kolchin N.N., et al. [Line for Postharvest Sorting of Potato Tubers, Roots and Fruits of Vegetables]. Patent 2,711,780 Russian Federation. 2020 January 22. (In Russ.)
20. Zhou L., Chalana V., Kim Y. PC-Based Machine Vision System for Real-Time Computer-Aided Potato Inspection. International Journal of Imaging Systems and Technology. 1998; 9(6):423-433. (In Eng.) doi: https://doi.org/10.1002/(SICI)1098-1098(1998)9:63.0.CO;2-C
21. Heinemann P.H., Pathare N.P., Morrow C.T. An Automated Inspection Station for Machine-Vision Grading of Potatoes. Machine Vision and Applications. 1996; 9:14-19. (In Eng.) doi: https://doi.org/10.1007/BF01246635
22. Rios-Cabrera R., Lopez-Juarez I., Sheng-Jen H. ANN Analysis in a Vision Approach for Potato Inspection. Journal of Applied Research and Technology. 2008; 6(2):106-119. (In Eng.) doi: https://doi.org/10.22201/icat.16656423.2008.6.02.521
23. Golmohammadi A., Bejaei F., Behfar H. Design, Development and Evaluation of an Online Potato Sorting System Using Machine Vision. International Journal of Agriculture and Crop Sciences. 2013; 6:396-402. Available at: https://www.semanticscholar.org/paper/Design-%2C-Development-and-Evaluation-of-an-Online-Golmohammadi-Bejaei/fa144c6e0da9b61ba2a6e9af943de7a59c6cc9b0 (accessed 08.08.2021). (In Eng.)
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