Animal Intrusion Detection in Farming Area using YOLOv5 Approach

Author:

Mamat Normaisharah1,Othman Mohd Fauzi1,Yakub Fitri1

Affiliation:

1. Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, Jalan Sultan Yahya Petra,Department of Electronic System Engineering,Kuala Lumpur,Malaysia,54100

Funder

Universiti Teknologi Malaysia

Publisher

IEEE

Reference15 articles.

1. Application of IOT and machine learning in crop protection against animal intrusion

2. Smart Intrusion Detection System for Crop Protection by using Arduino

3. Intrusion Detection and Repellent System for Wild Animals Using Artificial Intelligence of Things

4. Wild animals intrusion detection using deep learning techniques;sabeenian;International Journal of PharmTech Research,2020

5. Neural Network Based Image Classification for Animal Intrusion Detection System;sharma;Progress In Science and Engineering Research Journal,2020

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1. WildARe-YOLO: A lightweight and efficient wild animal recognition model;Ecological Informatics;2024-05

2. Image Processing based Animal Intrusion Detection System in Agricultural Field using Deep Learning;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

3. You Only Look Once (YOLOv8) Based Intrusion Detection System for Physical Security and Surveillance;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. Enhanced Black Widow Optimization With Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-Based Smart Farming;IEEE Access;2024

5. An IoT-based animal detection system using an interdisciplinary approach;E3S Web of Conferences;2024

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