Publication: FISH SCAN: a mobile application to prevent intermixing of Ladyfish (Elops hawaienis) fingerling in Milkfish (Chanos chanos) pond cultivation
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Date
2024-05
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Don Mariano Marcos Memorial State University - South La Union Campus
Abstract
As ladyfish are pests in milkfish pond cultivation, their cannibalistic behavior
towards milkfish .fingerlings significantly hampers the growth rate of the cultivated
milkfish. The similar physical appearance of ladyfish often deceives cultivators, leading
them to mistakenly identify these pests as milkfish further complicating the cultivation
process. To address this issue, the researchers propose "Fish-Scan, " a mobile application
designed to detect ladyfish using object detection. The application employs the YOLOv8
architecture for real-time object detection and good accuracy. Four major experiments
were conducted to train and test the model, utilizing metrics such as Fl-score and mAP50
to determine the best-performing model. The model demonstrating the highest performance
featured a white background with YOLOv8 default augmentation, achieving an F i-score
of 0.98 and a mAP50 of 0.99. Despite the model's training under 200 epochs, it achieved
early convergence. The model was exported to ONNX runtime for deployment and
integrated into Android Studio for application development. While real-time performance
remains a challenge, the model has good performance in detecting captured images.
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Citation
Lachica, W. B. S., Balangue, L. J. A., Calera, M. T., Gali, J. M. V., & Ventura, R. M. D. (2024). FISH SCAN: a mobile application to prevent intermixing of Ladyfish (Elops hawaienis) fingerling in Milkfish (Chanos chanos) pond cultivation [Unpublished Undergraduate thesis]. Don Mariano Marcos Memorial State University - South La Union Campus, Agoo, La Union.