Application of MobileNetV2 for Coffee Bean Ripeness Classification to Support Smart Agriculture
This study addresses the problem of manual classification of coffee bean ripeness, which is often inconsistent and inefficient, potentially affecting product quality and market value. To overcome this issue, the study proposes an automated classification approach using a deep learning model based on MobileNetV2. The ob...