Open AccessFeatures of the choice of information technologies for the development of agriculture
Author(s) -
Александр Кузнецов,
Artеm Rada,
Anton Timofeev,
Olha Nikitina,
Maria Osintseva
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/981/3/032019
Subject(s) - cadastre , context (archaeology) , computer science , work (physics) , investment (military) , software , legislation , agriculture , knowledge management , management science , economics , engineering , law , mechanical engineering , paleontology , ecology , politics , political science , biology , programming language
The introduction of digital technologies in the context of limited investment resources in agriculture requires an informed choice of specific goods and services in a complex saturated market. Traditional methods of expert assessments often lead to inconsistency of expert opinions and difficulty in making decisions. Therefore, the purpose of the article is to develop and test a methodology for choosing digital technologies for agriculture (using the example of software for performing cadastral works). To achieve the goal, the methodology of quadratic penalties was used. At the first stage of the study, the most important criteria for evaluating software were selected (performance, analytical capabilities, taking into account Russian legislation). These are functions that are not obvious to a non-professional buyer, which significantly affect the efficiency of cadastral work on agricultural land. At the second stage of the study, several variants of the programs were directly evaluated and the most effective ones were selected (with a minimum square-law penalty). Their use will allow not only drawing up documents for cadastral registration, but also to determine the exact boundaries of the fields for fair taxation, work planning. The research results can be used to substantiate decisions on the choice of certain digital technologies by agricultural enterprises.