Akademik Veri Yönetim Sistemi
Tezin Türü: Doktora
Tezin Yürütüldüğü Kurum: Dokuz Eylül Üniversitesi, İzmir Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümü, Türkiye
Tezin Onay Tarihi: 2025
Tezin Dili: İngilizce
Öğrenci: LEVENT TÜRKLER
Danışman: Taner Akkan
Özet:
Contemporary society faces numerous challenges, including demographic growth, climate change, and resource depletion. Technological advancements stemming from uncontrolled industrial development have increased human-induced interference with natural ecosystems and accelerated resource depletion rates. Paradoxically, technology is envisioned to serve as a critical instrument in mitigating these challenges by providing solutions to its own adverse effects. Water scarcity emerges as one of the most critical environmental challenges, establishing water resource utilization optimization as a priority development concern.
Over the past five decades, computer science and related disciplines have been at the forefront of technological advancement. The systematic integration of computational technologies into various sectors has led to significant temporal and economic efficiencies in traditionally labor-intensive operations.
This study has developed an algorithm aimed at preventing resource consumption through a sustainable and efficient methodology inspired by nature. Focusing on this issue due to projected increases in international conflicts over water resource sharing in the near future, the study aimed to develop intelligent irrigation systems using image processing techniques and robotic structures to reduce water losses in agriculture, which experiences the highest losses.
The system developed for precision agriculture applications is based on detecting water leaks in plants using thermal cameras and various sensors, implementing interventions through robotic systems when necessary. The algorithm underlying the system detects anomalies by analyzing thermal images of agricultural areas. The algorithm's validity has been proven by testing the suitability of swarm robotics architecture in three different scenarios.
Keywords: Swarm, mobile, robot, agriculture, autonomous