Paper
20 February 2024 Computer and information technologies in the agro-industrial complex at the present stage
Author Affiliations +
Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 1306511 (2024) https://doi.org/10.1117/12.3025171
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan
Abstract
This article is devoted to the consideration of how information technologies are used in practice in the agro-industrial complex at the present time. The main purpose of the study is to substantiate the effectiveness of these methods and to identify the main areas of use. The paper discusses the use of machine learning models to work with data in agriculture. The relevance of the study is justified by the fact that industry, as well as agriculture, are one of the most priority areas in our country. There is a need for the use of adaptive devices and new methods that will make it possible to achieve significant success in this area. The article is devoted to the consideration of the code implemented in Python, which can predict crop yields with high accuracy. By applying adaptive learning models and comparing different statistical models with each other, it is possible to identify the most accurate predictive indicators.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Andrey Tuskov, Ivan Efimov, Petr Efimov, Botagoz S. Saparova, Altynai A. Saparova, and Aigul A. Saparova "Computer and information technologies in the agro-industrial complex at the present stage", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 1306511 (20 February 2024); https://doi.org/10.1117/12.3025171
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KEYWORDS
Data modeling

Machine learning

Visualization

Matrices

Education and training

Agriculture

Information technology

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