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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IIETA
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/9097/ http://eprints.uthm.edu.my/9097/1/J15817_93d696d741ce66312d4270d55ad734db.pdf |
| Summary: | — 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. |
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