Classification of Strawberry Plant Diseases with Leaf Image Using CNN

Abstract

Strawberry plant is one of fruit plants that can grow in the highland with an altitude of 1000-1500m above sea level. Good care is taken to overcome diseases in strawberry plants. Farmers are usually difficult to distinguish the type of disease in strawberry plants. Deep learning is one of the ways to distinguish the types of diseases in plants by processing image feature extraction. Convolutional Neural Network (CNN) is one of the methods used in deep learning to classify diseases in strawberry plants by extracting image features of strawberry leaf disease. In this study, we propose a deep learning method using CNN to classification 6 types of diseases in strawberry plants with the use of 4663 strawberry leaf disease image data. The result of accuracy is 63,7%.