Robusta coffee leaf diseases detection based on MobileNetV2 model

<span lang="EN-US">Indonesia is a major exporter and producer of coffee, coffee cultivation adds to the nation's economy. Despite this, remains vulnerable several plant diseases that may result in significant financial losses for agricultural industry. Traditionally, are detected by expert observation with naked eye. Traditional methods managing such arduous, time-consuming, costly, especially when dealing expansive territories. Using model based on transfer learning deep model, we present this study technique classifying Robusta leaf disease photos into healthy unhealthy classes. The MobileNetV2 network serves as since its design simple. Therefore, it likely suggested approach will be deployed further mobile devices. In addition, experimental paradigms. Because lightweight net, system foundational model. Results datasets indicate can achieve high level accuracy, up 99.93%. accuracy other architectures besides DenseNet169 99.74%, ResNet50 architecture 99.41%, InceptionResNetV2 99.09%.</span>