Banana Fruit

Banana fruit research currently focuses on leveraging computer vision and machine learning for tasks such as classification (variety and quality), disease detection, and even understanding human-object interaction related to banana peeling. This involves the application of convolutional neural networks (CNNs), transfer learning techniques, and exploration of novel architectures designed for efficient processing and robust generalization, including those incorporating concepts like equivariance. These advancements hold significant potential for improving agricultural practices, optimizing supply chains, and enhancing automation in food processing and retail.