Automatic Recognition of Guava Leaf Diseases using Deep Convolution Neural Network

Early recognition and diagnosis of fruit Plants diseases are more important for increasing the development of healthy fruits industry. General observation system by farmers perhaps time-consuming, expensive and sometimes inaccurate. For this purpose, we introduce an appropriate deep convolution neural network(D-CNN) based approach for identifying guava leaf diseases automatically. The proposed model applies to classify major diseases of guava leaf such as Algal Leaf spot, Whitefly, and Rust. As per our insight, this is the first time to use D-CNN based model to recognize guava leaf diseases. Besides, we create our own dataset namely BU_Guava_Leaf (BUGL2018) with four different categories. On this dataset, we train our proposed disease identification approach and evaluate the experimental result which shows the average accuracy…