Animal detection system for durian plantation

Suttan Shahrir, Anis (2024) Animal detection system for durian plantation. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

In the era where advanced technology plays a big role in our daily life, this project aims to improve animal detection systems for plantation areas. It focuses on developing a system that integrates precise animal recognition technologies, combining accurate detection with automated deterrent actions to protect crops effectively. The use of real-time notifications through a widely adopted communication platform ensures that monitoring and responding to potential threats is intuitive and accessible for farmers. The exploration into animal recognition delves into the system’s ability to identify animals in various conditions, comparing its accuracy, speed, and reliability across different environmental scenarios. The user experience is a top priority, with ongoing improvements based on feedback from farmers to make sure the system not only protects crops but also meets their needs. This report provides a comprehensive overview of the project, detailing its objectives, methodology, and key findings. It documents the integration process, system architecture, and insights gained, offering a valuable resource for those interested in the convergence of animal detection, IoT, and automated crop protection. In a world where technology continues to advance, this project stands as a beacon of innovation to deliver a user-friendly solution that enhances both crop security and farmer convenience.

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