Page 55 - tech fest 2025 אשדוד חוברת תקצירים

Analysis of Plant Growth Characteristics Using Image Processing
EEE-C-08
Eliav Asaraf; eliavas@ac.sce.ac.il Omri Cohen; divom@ac.sce.ac.il
Advisor: Dr. Tom Trigano
SCE - Shamoon College of Engineering, Ashdod
Integrating advanced technologies in agriculture enables precise monitoring of plant growth and enhances its efficiency. This project designed a system that leverages machine learning and image processing to track plant growth, focusing on Arabidopsis under controlled conditions. Using captured images, we created a dataset for plant analysis. Our approach used the structural similarity index measure (SSIM) for image preprocessing, along with architectures like CNN and Siamese Networks for image classification. The applied methods delivered reliable insights into plant topology, demonstrating the effectiveness of combining image processing with machine learning. Future improvement may expand to additional plant species and more diverse conditions.
Keywords: agriculture, image processing, machine learning
High and Low Voltage Power Supply Design for a Multi-Story Residential Building
EEE-C-09
Adir Hanuna; adir.hanuna1@gmail.com Shlomo Alamo; shlomo0527392@gmail.com
Advisor: Mr. Herman Steiner
SCE - Shamoon College of Engineering, Ashdod
This project focused on the power supply design for a multi-story residential building in Givatayim, which included 279 units, a commercial floor, a service floor, and five underground parking levels. The design selected two 1000 kVA dry-type transformers based on load calculations, along with cable routing, breaker and cable selection, and an SF6 switchgear in a 2T+3C configuration. Switchboards, protection systems, busbars, and grounding were planned, with infrastructure for future expansion such as EV chargers and photovoltaic panels. All planning followed the Israeli Electricity Law standards, and IEC guidelines, ensuring safety, shock protection, short-circuit control, and voltage drop management.
Keywords: electrical planning, residential building
Book of Abstracts | 2025
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