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All Journal Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Diky Zakaria
Mechatronics and Artificial Intelligence Study Program Universitas Pendidikan Indonesia, Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Automated Bird Deterrent System: A Review Muhammad Fauzan Hernadi; Yusuf Haryo Timur; Roy Dongan Putra Manalu; Nabilah Khairunnisa; Diky Zakaria
Journal of Electrical, Electronic, Information, and Communication Technology Vol 7, No 1 (2025): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.7.1.95184

Abstract

Bird pests pose a significant threat to agriculture, causing extensive crop damage and economic losses. Traditional bird repellent methods, such as scarecrows and loud noises, often lose their effectiveness over time as birds adapt. This paper reviews the development and effectiveness of an automated bird repellent system, integrating Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The study used a systematic literature review (SLR) methodology, analyzing 20 articles published between 2015 and 2024. Key findings show that automated systems, utilizing sensors and AI algorithms such as YOLO, DenseNet, and Mask R-CNN, significantly improve bird detection and repellent accuracy. The DenseNet model, in particular, achieved a detection accuracy of 99.65%. The review highlights the need for further research to optimize sensor placement and assess the long-term impacts of this technology on bird behavior and agricultural ecosystems. This comprehensive review underscores the potential of automated bird repellent systems to improve crop protection and sustainability in agriculture.
Co-Authors Muhammad Fauzan Hernadi Nabilah Khairunnisa Roy Dongan Putra Manalu Yusuf Haryo Timur