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Information and communication and chemical technologies
No. 2 (23) - 2024 / 2024-06-30 / Number of views: 90
DEVELOPMENT AND APPLICATION OF AN INTEGRATED INFORMATION MODEL FOR OPTIMIZING LAND USE AND FORECASTING YIELDS IN AGRICULTURAL PRODUCTION
Authors
Keywords
information model, optimization, PHP, Javascript, MYSQL, optimization tasks, logistics, production
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How to quote
Tynykulova А., A. Mukhanova, A. Mukhomedyarova, A. Khamzina, and Z. Bagisov. “DEVELOPMENT AND APPLICATION OF AN INTEGRATED INFORMATION MODEL FOR OPTIMIZING LAND USE AND FORECASTING YIELDS IN AGRICULTURAL PRODUCTION”. Vestnik KazUTB, vol. 2, no. 23, June 2024, doi:10.58805/kazutb.v.2.23-463.
Tynykulova А., A. Mukhanova, A. Mukhomedyarova, A. Khamzina, and Z. Bagisov. “DEVELOPMENT AND APPLICATION OF AN INTEGRATED INFORMATION MODEL FOR OPTIMIZING LAND USE AND FORECASTING YIELDS IN AGRICULTURAL PRODUCTION”. Vestnik KazUTB, vol. 2, no. 23, June 2024, doi:10.58805/kazutb.v.2.23-463.
Abstract
The paper presents the development of a conceptual information model for optimizing land use and crop forecasting in agriculture, implemented using the PHP programming language, Javascript and the MYSQL database management system. The model is designed to solve optimization problems in various fields such as logistics, manufacturing, finance, etc.
As part of the work, an information model was developed, which is a set of data, algorithms and software modules designed to solve optimization problems. The model is implemented based on PHP, Javascript, and MYSQL technologies.
The model allows you to solve optimization problems of varying complexity using various optimization methods such as linear programming, nonlinear programming, artificial intelligence methods, etc.
The model can be applied to solve optimization problems in various fields. In addition, the model allows you to solve optimization problems with a high degree of accuracy and in a short time, and also has a user-friendly interface that allows users to easily and quickly set optimization tasks.
An information model has been developed that will make it possible to predict the harvest taking into account data on weather, soil, crops and historical yield data, as well as optimize land use taking into account data on soil type, climate, crop rotation and financial indicators. The developed information model can improve the efficiency and sustainability of agricultural production. The model can be used by agronomists and farmers to make more informed decisions. The model takes into account data on soil type, climate, crop rotation and financial indicators to optimize land use.
