Features of digital phytosanitary monitoring of agricultural crops

Author:

Mironkina A Yu,Kharitonov S S

Abstract

Abstract The subject of the study is digital phytosanitary monitoring of agricultural crops. The object of the study is agricultural crops of the Russian Federation. The following main research methods are used: monographic method; method of analysis and synthesis; method of observation; method of comparison; method of expert assessments. As a result of the scientific research, the following result was obtained. The concept and essence of digital phytosanitary monitoring of agricultural crops are considered. We have determined that digital phytosanitary monitoring of agricultural crops is understood as a high-tech process that includes monitoring the state of growth and development of plants in order to protect them from harmful organisms and the influence of environmental factors. Three options for conducting phytosanitary monitoring of agricultural crops in the Russian Federation are considered: the use of satellite systems; the use of aviation equipment; the use of sensors and devices of agricultural machinery. The differences between digital phytosanitary monitoring of crops and the traditional method are determined by the following five characteristics: the time of monitoring; access to information; the possibility of physical damage to the studied plants; spatial and temporal analysis of vast, remote territories and interaction with each other; obtaining final results.

Publisher

IOP Publishing

Subject

General Engineering

Reference12 articles.

1. Digital technologies for efficient farming;Mironkina,2020

2. Analysis of the digitalization efficiency in agricultural complex in the republic of Tatarstan;Krupina,2020

3. Comprehensive socioecological and economic assessment of the status and development of southern Russia agricultural regions;Trukhachev;Life Sci. J.,2014

4. The digital agriculture project is a driver of innovative development of the agro-industrial complex;Fomin;Agro-industrial complex: economy, management,2019

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