Issue |
BIO Web Conf.
Volume 130, 2024
International Scientific Conference on Biotechnology and Food Technology (BFT-2024)
|
|
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Article Number | 02007 | |
Number of page(s) | 7 | |
Section | Soil Biotechnology | |
DOI | https://doi.org/10.1051/bioconf/202413002007 | |
Published online | 09 October 2024 |
Designing a UML automated drip irrigation system to improve the efficiency of greenhouse agriculture
1 Reshetnev Siberian State of Science and Technology, Krasnoyarsk, Russia
2 Bauman Moscow State Technical University, Artificial Intelligence Technology Scientific and Education Center, Moscow, Russia
3 Russian State Agrarian University - Moscow Timiryazev Agricultural Academy Named after K.A. Timiryazev (RSAU-MAA Named after K.A. Timiryazev), Moscow, Russia
* Corresponding author: vasi4244@gmail.com
This article discusses the process of designing an automated drip irrigation system for a greenhouse using the UML (Unified Modelling Language) language. The main purpose of the study is to create a detailed and visual model of the system that describes all aspects of its operation, from collecting data from sensors to controlling the irrigation process. In the course of the work, various UML diagrams were developed, including a use case diagram, a class diagram, a sequence diagram, and a state diagram. These diagrams provided a comprehensive view of the system, its components and their interactions, which greatly simplified the design process and allowed to identify possible problems in the early stages of development. The practical application of the automated drip irrigation system has a number of advantages for greenhouse agriculture. The system optimizes the use of water resources, reduces labour costs and minimizes the influence of the human factor, increasing the accuracy and reliability of irrigation. In addition, it provides the ability to monitor and manage irrigation in real time, which allows you to quickly respond to changes in conditions and prevent possible problems.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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