Professor Shan Suthaharan will be delivering an invited talk at the Mini-Symposium om System Dynamics and its Role in Data Science, as a part of the International Conference on Computational and Mathematical Modeling (ICCMM 2025) to be held at the Center for Mathematical Modeling, University of Colombo, Sri Lanka.
Plant leaf disease detection by leveraging machine learning models and statistical approaches
Abstract: Plant leaves display unique visual sparsity structures that include (i) the midrib that supports the leaf, (ii) the veins that transport water and nutrients, and (iii) the margin that describes the outer edge of the leaf blade. When plant diseases affect a plant leaf, abnormal alterations of these features occur on the leaf. However, in general, the current machine learning models do not explicitly consider these granular alterations of features to classify (or predict) healthy and unhealthy plant leaves. Hence, they lose their ability to explain their predictions and contribute to the advancement of explainable artificial intelligence research. This talk will discuss the use of compressed sensing and compressed learning, along with the sparse random projection and the kernel density estimation techniques, to help machine learning models understand the relationships between the plant leaf structures and the disease signatures and improve their performance in explainability. The discussion will be supported by an experiment that integrates machine learning models, statistical approaches, and a plant leaf disease dataset.
Congratulations to Professor Suthaharan for his contributions to Data Science, Machine Learning, and Artificial Intelligence!
