As part of the bachelor's thesis, a unique development of an automated system for controlling the microclimate of mushroom-growing greenhouses was conducted. The work includes a detailed description of the technological process used for cultivating mushrooms.
One of the main achievements of this project is the creation of a system that provides extremely precise regulation of the greenhouse climate. This has been achieved through the use of modern technologies and high-precision components such as microcontrollers and sensors. Accurate control of temperature, humidity, and ventilation enables the creation of optimal conditions for mushroom cultivation.

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As part of the bachelor's thesis, the development of an automated incubator management system was carried out. The work includes a detailed description of the technological process of incubation, which is used to grow various types of birds. Incubation regimes that provide optimal conditions for the development and survival of chicks are considered.
One of the main achievements of the work is the development of a system that provides more accurate maintenance of temperature regimes during the incubation process. This is achieved through the use of modern technologies and components such as microcontrollers and high precision sensors. Precise temperature control allows for optimal conditions for the development of chicks and improves their chances of survival.

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In this thesis project, a computer-integrated pyrometer with the function of data transmission to a user device in the form of a smartphone based on the Android operating system was designed.
The first chapter analyzes the theoretical foundations of non-contact temperature measurement. Different methods of temperature determination are considered. Ready-made models of pyrometers are collected and analyzed, and a comparative characterization is created. In the next section, ready-made sensor options are considered for use in this project. The parameters of the future pyrometer based on the selected sensor are also calculated. Creation of functional, structural and schematic diagrams. In the third section, a case for the device was designed based on the selected elements of the device, taking into account their installation by a person, not a robot.

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The purpose of the thesis is to develop the design and software of a device for automated detection of surface defects in printed circuit boards that can be used in production.
This thesis presents theoretical information on PCB defects. The theoretical information about the methods of controlling printed circuit boards, their advantages and disadvantages in certain industries is presented.
The choice of elements for the device and the justification for their selection; the choice of a neural network and a detailed analysis of all the possibilities are carried out. The design of the device, the software algorithm for detecting defects, the capabilities of the neural network and its results are described. The performance of the neural network was evaluated and showed a result of 92.5%. The general statistics of the neural network are described. The advantages and disadvantages of this device are analyzed, and the prospects for improving and developing this development are considered.

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The aim of the thesis project is to develop an automated vegetable fruit sorting system with elements of artificial intelligence.
In the thesis project, we developed a system for automated sorting of vegetable crop (SASVC), in particular cucumbers. The developed SASVC is an alternative to well-known foreign analogues. It allows sorting vegetable fruits, in particular cucumbers, with high accuracy, quality, and productivity in an automated mode.
The thesis project analyzes modern methods and means of sorting, including mechanical, optical, and intelligent methods. A general structural diagram of the automated sorting system was developed, as well as functional and electropneumatic schematic diagrams of the system.
An electrical circuit diagram for the control of the induction motor and the fruit pushers was also developed. The final section is devoted to the substantiation of the architecture of an artificial neural network for recognizing fruit quality indicators and the development of its structural diagram.

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  1. Nesteruk Y. Automated system of ergonomic bicycle adjustment
  2. Yuzvak O. Portable ophthalmoscope
  3. Malashchenko D. Automated lighting system of the inter-floor staircase of the cottage
  4. Pitukh I. Automated portable ultrasonic thickness gauge

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АСНК КПІ ім. Ігоря Сікорського, 2021