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Optimalizace řízení podmínek v inteligentním skleníku
Vilimovský, Dan ; Beran, Vítězslav (referee) ; Bažout, David (advisor)
The work focuses on finding ways to optimize the operation of a smart greenhouse by reducing operating costs and facilitating the sustainability of an ideal environment for plant development in the greenhouse. The aim is to model the conditions in the greenhouse using a developed neural network model that is able to predict the values of environmental parameters such as temperature and humidity. This model is trained on real data obtained from long-term measurements in a test facility. Furthermore, the thesis deals with the possibility of using this neural network model to optimize the control of the greenhouse operation so that ideal development conditions for the plants grown or reduced electricity consumption used for the operation of appliances can be ensured in the future.
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Smart greenhouse control system design
Šindelář, Jiří ; Králík, Jan (referee) ; Věchet, Stanislav (advisor)
This thesis deals with the design of an embedded control system for a smart greenhouse based on commonly available microcontrollers, enabling the automation of greenhouse operation while maintaining minimal costs. The conceptual greenhouse solution includes equipment for process automation, a web application for monitoring current status and statistics, as well as the necessary controls for manual remote control of the actuators. Furthermore, the proposed system supports connection to a parent server which allows remote monitoring and control.
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Web Application for Managing a Smart Greenhouse with Gamification Elements
Janeček, Martin ; Materna, Zdeněk (referee) ; Bažout, David (advisor)
The aim of this work is to create an intuitive user interface for monitoring and controlling conditions in a smart greenhouse. This is complemented by a system of devices, compared to a normal greenhouse, which maintain an ideal environment for the plants using remote access from the application. The web application is equipped by a gamification system, which aims to motivate the user to use all the features. At the same time, this system guides the user through the initial introduction to the smart greenhouse. The application is implemented using the Django framework, the presentation side is provided by the React library. The developed solution allows users to easily control the conditions in the smart greenhouse and analyze the history of measured data in a chart or statistics.
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Smart greenhouse control system design
Šindelář, Jiří ; Králík, Jan (referee) ; Věchet, Stanislav (advisor)
This thesis deals with the design of an embedded control system for a smart greenhouse based on commonly available microcontrollers, enabling the automation of greenhouse operation while maintaining minimal costs. The conceptual greenhouse solution includes equipment for process automation, a web application for monitoring current status and statistics, as well as the necessary controls for manual remote control of the actuators. Furthermore, the proposed system supports connection to a parent server which allows remote monitoring and control.
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