The role of digital technologies in the management of production and technological processes in fruit growing (protection of fruit plantations and yield) on the example of the Krasnodar Region

Author:

Egorov E. A.1,Shadrina Zh. A.1,Kochyan G. A.1,Podgornaya M. E.1,Vasilchenko A. V.1

Affiliation:

1. North Caucasian Federal Scientifi c Center of Horticulture, Viticulture, Wine-making

Abstract

The role of digital technologies in the management of production and technological processes in fruit growing on the example of the protection of fruit plantations and yield is revealed. On the example of the Krasnodar Region, basic elements of a process control model for protecting fruit planting from a specifi c disease or pest are proposed for the elaboration of digital technologies: a theoretical basis that reveals the organizational and functional structure of the control of protection processes; structural analysis of components of the protection process control model and optimization of the parameters of plant protection systems to ensure high biological and technological-economic effi ciency; design algorithm for the protection process management model, development of methods and cost optimization for protective measures according to the criteria of biological and environmental and economic effi ciency. The algorithm of the organizational structure of the management methodology, which is the basis for the development of digital technologies for managing production processes in commercial fruit growing is presented, the functional content of the stages of the algorithm is considered. An algorithm is proposed for the development of digital technology for process control, including: the formation of multifunctional databases and data banks, as well as an empirical database and geocoded data collection; diagnosis of diseases and pests; development of plant protection systems; selection of the optimal protection system; development of regulations for the use of chemical and biological agents; assessment of the biological and environmental and economic eff ectiveness of plant protection systems and yield; substantiation of the optimal parameters of the plant protection system and the yield. A predictive assessment of the eff ectiveness of the use of digital technologies in managing the protection of fruit plantations against diseases and pests is given: a comprehensive digitalization of the plantation protection processes, according to empirical data obtained through the use of individual digital technology elements in agricultural organizations of the Krasnodar Region, North Caucasian Federal Scientifi c Center of Horticulture, Viticulture, Wine-making, data of the Ministry of Agriculture of Russia. This will allow reducing labor costs by collection, processing of information to justify the optimal solution on the application of system for protecting plantings and yield from pests and diseases, on average, 2 times as compared with traditional systems, comprehensive accounting of all factors that infl uence or determine the state of the system, 2 times higher labor productivity, cost savings on protective measures by 23 % on average, increased production effi ciency and the competitiveness of fruit products.

Publisher

Federal State Budgetary Scientific Institution All-Russian Horticultural Institute for Breeding Agrotechnology and Nursery

Subject

Pharmacology (medical)

Reference25 articles.

1. Egorov E. A., Shadrina Zh. A., Kochyan G. A. Ways of intensifi cation of fruit growing, increasing the stability and effi ciency of agroecosystems [Electronic resource], Plodovodstvo i vinogradarstvo Yuga Rossii, 2013;22(4):137-148. URL: http://journalkubansad.ru/pdf/13/04/16.pdf. Link active on 08/20/2019. (In Russ.)

2. Egorov E. A. Ecological and economic effi ciency of intensifi cation of fruit growing. Nauchnyye trudy GNU SKZNIISiV, 2013;2:7-21. (In Russ.)

3. Egorov E. A., Shadrina Zh. A., Kochyan G. A. Macroeconomic trends and parameters of eff ective gardening, Sadovodstvo i vinogradarstvo. 2015;6:5-10. (In Russ.)

4. Egorov E. A., Shadrina Zh. A., Kochyan G. A. Prospective assortments and technologies in horticulture – technological and economic aspects, Nauchnyye trudy GNU SKZNIISiV. 2018;17:7-19. (In Russ.)

5. Podgornaya M. E., Yakuba G. V., Kholod N. A. et al. Regularities of transformation of the main xenobiotics in ecosystem objects of perennial agrocenoses depending on soil and climatic features, Nauchnyye trudy GNU SKZNIISiV. 2019;23:181188. (In Russ.)

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