Перегляд за Автор "Lavrik, Volodymyr"
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- ДокументDesign and implementation of an IoT-based system for intelligent crop health monitoring(SPIE, 2025) Lavrik, Volodymyr; Alieksieieva, Hanna; Kovalska, Oksana; Lebedenko, Yuri; Sukalo, Maksym; Kudinov, Mykola; Mezhuyev, VitaliyThis paper presents the development of an intelligent IoT device for automated, real-time monitoring of crop conditions in agriculture. The proposed solution involves Raspberry Pi Zero 2 W hardware, multi-sensor modules for environmental data collection, NB-IoT for long-range wireless communication, and the YOLOv8 convolutional neural network for plant image analysis. The objective is to create a compact, low-cost, and energy-efficient solution that enables early detection of plant diseases and environmental stress in remote or infrastructure-poor agricultural areas. The developed system enables accurate identification of disease symptoms and damage on crop leaves based on visual and environmental input, facilitating timely intervention and reducing yield loss. The YOLOv8 model was adapted for resource-constrained edge deployment, trained on a custom dataset of strawberry leaf diseases, and integrated into the embedded device with high accuracy and low latency. System testing confirmed reliable performance under field conditions, with successful image classification and robust NB-IoT communication. The proposed solution is scalable and applicable to various crops and contributes to the practical implementation of precision agriculture and intelligent farming systems.
- ДокументDevelopment of a procedure for calculating problems in the mechanics of elastomers based on the Open Modeling Language(Eastern-European Journal of Enterprise Technologies, 2025) Lavrik, Volodymyr; Bohdanov, Ihor; Alieksieieva, Hanna; Antonenko, Oleksandr; Ovsyannikov, OleksandrElastomeric materials (such as rubber and elastomers) are widely used in mechanical engineering and construction. Numerical modeling of their stress-strain state is associated with certain computational problems (due to the appearance of fictitious shear strains, a “false shear effect” arises). Existing software systems are designed to solve specific classes of problems in the mechanics of deformable solid bodies. Their main advantages include ease of use, accuracy of the obtained solutions, a high level of automation, etc. However, a common drawback of these systems is that each specific system cannot be applied to solve problems that were not anticipated by the developers during the design stage. Moreover, the user cannot choose an alternative method for solving a certain class of problems other than the one embedded in the system during its development.