Digital technologies and automation in breeding and agriculture

Author:

Zolkin A.L.,Matvienko E.V.,Shevchenko O.P.,Bityutskiy A.S.,Ozhiganov V.E.

Abstract

The agricultural industry is one of the key industries that is related to material production. Large areas of fields, a huge fleet of vehicles, a large number of people employed in the industry, lead to the creation of innovative ways to manage the land resource base and production capacity in agriculture. After analyzing how digital solutions are used in the regional agricultural industry, it can be said that there is a need to carry out accelerated selection, use artificial intelligence, create new sources of raw materials, apply blockchain, unmanned aerial vehicles, the Internet of things, agroscouting, ERP systems, and train employees in the field of information technology for the agro-industrial complex. Agro-enterprises, where mechanization is at a fairly high level, suffer the greatest damage when they produce fruits and vegetables (about 57 percent), as well as root products (about 79 percent). In the production of cereals, the largest losses occur during processing (about 10 percent) and consumption (about 25 percent). In enterprises where mechanization is at an average level, the most problematic industry is livestock breeding with milk production where losses can reach 53 percent.

Publisher

EDP Sciences

Reference14 articles.

1. Practical experience and prospects for the use of digital technologies in crop production Collection of articles of research-to-practice conference Belgorod State Agrarian University named after V. Ya. Gorin. (Printing house of the Belgorod State Agrarian University, Belgorod, 2021)

2. Digital technologies in agriculture, https://terrapoint.kz/news/section/internet_veshchey_v_selskom_khozyaystve (2016)

3. Digital transformation of Russian agriculture: official. ed. (Federal State Budgetary Scientific Institution Rosinformagrotech, Moscow, 2019)

4. Chuba A. Yu., Topical issues of technical sciences: theoretical and practical aspects (2015)

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