Aim:
The aim of this project is to develop and implement a holistic methodology for identifying and evaluating medicinal leaves with the potential to treat various diseases.
Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic
Aim:
To develop an enhanced LULC classification system using ResNet50v2 for better accuracy and LIME for explainability, while minimizing computational resource requirements.