SLSU Faculty’s Innovative Research on Lobster Grading System Using Image Processing Technology Presented at Prestigious IEEE Conference
Southern Leyte State University (SLSU) is celebrating a remarkable achievement by its faculty members, Mr. Rhoderick D. Malangsa and Mr. Jannie Fleur V. Oraño, for their cutting-edge research that offers a fresh solution to the seafood industry. Their work, titled “Image Processing Techniques for Lobster Grading System,” was presented at the 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) and is published in Scopus.
This groundbreaking study focuses on developing a system that uses advanced image processing techniques to grade lobsters. The research promises to streamline the labor-intensive process of lobster grading, ensuring accuracy and efficiency in the classification of lobster quality.
Mr. Malangsa and Mr. Oraño, both hailing from SLSU’s Sogod campus, collaborated with Ms. Monalee A. Dela Cerna from Surigao Del Norte State University to combine their expertise in technology and aquaculture. Their innovative work could lead to significant improvements in the seafood industry, particularly in the grading and quality assessment of high-value marine products.
The study highlights the potential of technology to revolutionize traditional processes and offers new opportunities for integrating automation into the food industry. SLSU is proud to support its faculty’s innovative research that contributes to both academic excellence and real-world applications.
The university continues to be a hub for research that has practical implications, showcasing how local talent is making a global impact.
How to cite: Malangsa, R. D., Oraño, J. F. V., & Dela Cerna, M. A. (2022). Image processing techniques for lobster grading system. In 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-5). IEEE.
To read full content:
https://doi.org/10.1109/HNICEM57413.2022.10109369