An automated approach for eggplant disease recognition using transfer learning

In Bangladesh, eggplant is a widely grown crop that vital to the country’s food security. The vegetable consumed on regular basis by majority of people. Since Bangladesh’s economy heavily reliant agriculture, growing might help and productivity flourish more efficiently. It provides several health benefits, including reducing cancer risk, blood sugar control, heart health, eye others. Although valuable crop, it subject severe diseases reduce its productivity. It’s hard detect those manually needs lot time work. So, we introduce an agricultural medical expert system based machine vision analyzes picture acquired with smartphone or portable device classifies assist farmers in resolving issue. We studied used convolutional neural network (CNN)-based transfer learning approach for identifying this paper. have various models such as DenseNet201, Xception, ResNet152V2. DenseNet201 had highest accuracy these 99.06%.