Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
The difficulties to drive away the durian farm threatens animals such as wild boars, monkeys, foxes, and squirrels during nighttime often experienced by durian farmers. Therefore, the Pro Durian application is proposed that allows farmers to identify durian threats through a camera phone with an ale...
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| Format: | Article |
| Language: | English |
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Ijetae
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| Online Access: | http://eprints.uthm.edu.my/8801/ http://eprints.uthm.edu.my/8801/1/J15817_93d696d741ce66312d4270d55ad734db.pdf |
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| author | Yusoff, Aiman Kamarudin, Noraziahtulhidayu Al-Emad, Nabil Ali Sapuan, Khusairi |
| author_facet | Yusoff, Aiman Kamarudin, Noraziahtulhidayu Al-Emad, Nabil Ali Sapuan, Khusairi |
| author_sort | Yusoff, Aiman |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The difficulties to drive away the durian farm threatens animals such as wild boars, monkeys, foxes, and squirrels during nighttime often experienced by durian farmers. Therefore, the Pro Durian application is proposed that allows farmers to identify durian threats through a camera phone with an alert feature activation when the system detects an animal to drive away those animals. The application implements a deep learning algorithm of
Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. The classification accuracies reached 80% in detecting the animal’s images. |
| first_indexed | 2025-11-15T20:27:11Z |
| format | Article |
| id | uthm-8801 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:27:11Z |
| publisher | Ijetae |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-88012023-06-12T07:48:18Z http://eprints.uthm.edu.my/8801/ Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development Yusoff, Aiman Kamarudin, Noraziahtulhidayu Al-Emad, Nabil Ali Sapuan, Khusairi T58.5-58.64 Information technology The difficulties to drive away the durian farm threatens animals such as wild boars, monkeys, foxes, and squirrels during nighttime often experienced by durian farmers. Therefore, the Pro Durian application is proposed that allows farmers to identify durian threats through a camera phone with an alert feature activation when the system detects an animal to drive away those animals. The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. The classification accuracies reached 80% in detecting the animal’s images. Ijetae Article PeerReviewed text en http://eprints.uthm.edu.my/8801/1/J15817_93d696d741ce66312d4270d55ad734db.pdf Yusoff, Aiman and Kamarudin, Noraziahtulhidayu and Al-Emad, Nabil Ali and Sapuan, Khusairi Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development. International Journal of Emerging Technology and Advanced Engineering, 13 (2). pp. 1-8. ISSN 2250-2459 https://doi.org/10.46338/ijetae0223_02 |
| spellingShingle | T58.5-58.64 Information technology Yusoff, Aiman Kamarudin, Noraziahtulhidayu Al-Emad, Nabil Ali Sapuan, Khusairi Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development |
| title | Durian Farm Threats Identification through Convolution Neural
Networks and Multimedia Mobile Development |
| title_full | Durian Farm Threats Identification through Convolution Neural
Networks and Multimedia Mobile Development |
| title_fullStr | Durian Farm Threats Identification through Convolution Neural
Networks and Multimedia Mobile Development |
| title_full_unstemmed | Durian Farm Threats Identification through Convolution Neural
Networks and Multimedia Mobile Development |
| title_short | Durian Farm Threats Identification through Convolution Neural
Networks and Multimedia Mobile Development |
| title_sort | durian farm threats identification through convolution neural
networks and multimedia mobile development |
| topic | T58.5-58.64 Information technology |
| url | http://eprints.uthm.edu.my/8801/ http://eprints.uthm.edu.my/8801/ http://eprints.uthm.edu.my/8801/1/J15817_93d696d741ce66312d4270d55ad734db.pdf |