Image-Based Pili (Canarium ovatum, Engl.) Fruit Variety Classifier App: An Approach to Enhancing Teaching Biodiversity and Crop Science

Abstract

This paper introduces an image-based Pili fruit variety classifier application for teaching biodiversity and crop science courses. For this study, the project uses Pili (Canarium ovatum, Engl.) as the pilot species in developing a non-invasive image-based classifier. The application not only provides insights into biodiversity but also showcases Al's potential in agricultural education.