Structural scheme for the choice of technologies and technical means in plant growing

Author:

Alt V. V.1,Isakova S. P.1,Lapchenko E. A.1,Elkin O. V.1

Affiliation:

1. Siberian Federal Scientifi c Centre of AgroBioTechnologies of the Russian Academy of Sciences

Abstract

The factors that infl uence management decisions related to the choice of technologies and technical means are summarized. The urgency of software development for these factors is shown. Examples of foreign and domestic software products available in this fi eld are given, their advantages and disadvantages are shown. The descripton of the structural approach to the software product development is given. Its main point is to determine the importance and priorities among the existing factors with the aim of establishing the structure of their relationship. Requirements to the structural scheme of the software being developped are presented, icluding its main components, their functions, the rules of communication and the scheme of input and output of information. The structural diagram that shows the choice of technologies and technical means in crop production is presented. It covers the technology of remote access based on the use of cloud technologies. The main factors infl uencing the choice of technologies and technical means are identifi ed. The structural scheme presented takes into account restrictions imposed by agro-climatic and production conditions faced by agricultural producers, i.e. amount of work and terms, phytosanitary conditions, relief and contour of fi elds for the selection of technologies and rational composition of the machine and tractor fl eet, as well as technical and economic characteristics of technical facilities. The structural scheme also ensures that the requirements of universality and compatibility of the software product, as well as information input and output are met. A general description of the diagram and the blocks it consists of are given: database, inital data input, technology selection and report generation.

Publisher

SFSCA RAS

Reference16 articles.

1. Tkachenko V.V. Metodika mnogokriterial’noi komplekstnoi otsenki i vybora tekhnologii vozdelyvaniya sel’skokhozyaistvennykh kul’tur. [Methods of multi-criteria complex assessment and choice of crop cultivation technology] Nauchnyi zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta [Scientifi c Journal of Kuban State Agrarian University], 2016, no 123 (09), pp. 1–19. (In Russian).

2. Kurbanov R.F., Savinykh P.A., Nechaev V.N., Nechaeva M.L. Otsenka znachimosti faktorov, vliyayushchikh na vybor resursosberegayushchikh tekhnologii v rastenievodstve. [Assessment of the signifi cance of factors infl uencing the choice of resource-saving technologies in plant growing] Vestnik Altaiskogo gosudarstvennogo agrarnogo universiteta [Bulletin of Altai State Agricultural University], 2016, no 2 (136), pp. 145–151. (In Russian).

3. Diagne A., Glover S., Groom B., Phillips J. Africa’s Green Revolution? The determinants of the adoption of NERICAs in West Africa SOAS Department of Economics Working Paper Series. SOAS, University of London, 2012, no 174.

4. Bizimana J.C., Richardson J.W. Agricultural technology assessment for smallholder farms: An analysis using a farm simulation model (FARMSIM). Computers and electronics in agriculture, 2019, no 156, pp. 406–425. DOI: 10.1016/j.compag.2018.11.038

5. Gostev A.V. Avtomatizirovannye programmy vybora tekhnologii vozdelyvaniya zernovykh kul’tur v TsChR. [Automated software for choice of grain crop cultivation technologies of Central Chernozem region] Zemledelie [Magazine “Zemledelie”], 2013, no 1, pp. 8–11. (In Russian).

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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