Basis of Developing Automated Machines with Digital Control Systems for Cultivating, Harvesting and Postharvest Processing of Vegetable Crops and Potatoes

Author:

Dorokhov Aleksey S.1ORCID,Sibirev Alexey V.1ORCID,Aksenov Aleksandr G.1ORCID,Mosyakov Maxim A.1ORCID,Sazonov Nikolay V.1ORCID

Affiliation:

1. Agroengineering Center VIM

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.

Publisher

National Research Mordovia State University MRSU

Subject

General Medicine

Reference23 articles.

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_and_harvestiong_of_onion (accessed 08.08.2021). (In Eng.)

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.)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3