Results indicate strong technical performance, usability, and practical viability, demonstrating that biological image processing using consumer-grade devices can serve as an effective alternative to traditional rice purity verification methods.
Owen B. Pilongo, Arvin G. Lauron, Jazrel Shan Kurvy A. Balbuena et al.· International Conference on...· 0 citations
An object detection–based multimedia system for intelligent classification and grading of unmilled local rice using mobile imaging and deep learning, enabling grain-level localization and classification of clean, unclean, and wet grains within a single image.
Owen B. Pilongo, Bryle Kelly Dimabayaoa, Jimny Mackenzie H. Lu et al.· International Conference on...· 0 citations
A deep learning–based system for automated detection of viral and related skin diseases using image classification and segmentation techniques and integrates the trained model into a real-time Flask-based web application for practical deployment is presented.
Genevieve A. Pilongo, Christopher Josh L. Dellosa, Andre Miguel C. Bacaling et al.· International Conference on...· 0 citations
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