Klasifikasi Penyakit pada Citra Buah Jeruk Menggunakan Convolutional Neural Networks (CNN) dengan Arsitektur Alexnet


 Citrus fruit is a plant that very susceptible to disease. Diseases often attack citrus fruits are usually in the form of spots on fruit. Diagnostics diseases carried out by experts manually which can cause results be subjective. Not all farmers diagnosing diseases. Therefore, this study proposes system for using computer vision based deep learning. So model used computers with limited resources, Alexnet model, relatively light but has proven excellent accuracy classifying several datasets. The dataset disease images 1790 divided into 4 classes, namely blackspot, canker, grenning, and healthy best achieved scenario 90% training data 10% validation an 94,34%, precision 93,0%, recall 94,0%, F1-score 95,0%. obtained combination dropout, batch normalization, fully-connected layer scenarios classifier layers section.