Publication
Abstract: Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases that might compromise the entire rice crop. The need to address the common bacterial leaf blight in rice is a serious disease that can lead to reduced yields and even crop loss of up to 75%. This paper is a design and development of a rice leaf disease detection mobile application prototype using an algorithm used for image analysis. The researchers also used the Rice Disease Image Dataset by Huy Minh Do available at this https URL to train state-of-the-art convolutional neural networks using transfer learning. Moreover, we used image augmentation to increase the number of image samples and the accuracy of the neural networks as well
Keywords: deep neural networks, convolutional neural networks, agriculture, transfer learning, rice diseases
On-going
- Prediction of Stunting in toddlers using Machine Learning Approaches in Two Asean Countries (2026), SDG 2, 3, 9 – (STIE-26-9)
- Predicting the Performance of UNP BLIS Students in the Licensure Examination using Machine Learning Algorithms (2023), SDG 4, 9 – (STIE-24-7)
- Development of a Computer Vision-Based Mobile Application for Efficient Crop Pest Detection and Recognition (2024), SDG 2, 9, 12 – (STIE-24-8)
Awards
- NATIONAL
- Best Poster Paper Award – 2nd National Conference on Computing, Engineering and Business (Professional Category), December 6, 2019
- LOCAL
- 2024 Gawad Saliksik, October 16, 2024, UNP, Vigan City
- Best Presentation – 1st Regional Virtual Research Congress (Science and Technology Category), June 30 2020
Presentation
- 8th SPUP International Interdisciplinary Research Conference (2025),
- Predicting Socio-Economic Status of Filipino Household Using Data Mining Techniques (2024),
- 1st International Research & Innovation, Conference on Education, Engineering & Agricultural Interface (2023),
- International Conference on Methodological Advances in Research (2023),
- 4th National Conference on Methodological Advances in Research (2023),
- 2nd National Conference in Computing, Engineering and Business (2019),
Citations
- Development of a Prototype Application for Rice Disease Detection Using Convolutional Neural Networks (2023), SDG 2, 9, 12, 13 – https://ieeexplore.ieee.org/abstract/document/10270771/authors#authors
IP Registration
Others (Peer Review, Research Consultancy)
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