Sri Lankan Rubber Diseases Detection

Abstract

"Rubber has a long history of production and exportation in Sri Lanka, where it is a significant earnings agricultural product. It is widely planted throughout the nation's many areas and provides many farmers with a vital source of income. Sri Lanka is one of the top 10 producers worldwide, supplying premium natural rubber to several nations. Tire, shoe, and industrial product manufacturing are just a few industries that employ rubber. In Sri Lanka, diseases of rubber trees have grown to be a serious problem, reducing both the amount and quality of rubber output. The most common diseases of rubber trees are white root disease, which damages the roots, and the leaves-specific diseases Colletotrichum, Corynespora, and Oidium. The lack of specialists makes it difficult for rubber growers to diagnose and cure these diseases. The author developed a CNN model with multiple convolutional and max pooling layers, followed by fully connected layers, to identify the above rubber leaf diseases using the categorical cross-entropy loss function. The dataset used for training and evaluation was obtained with the permission of the Rubber Research Institute Sri Lanka. The model's accuracy of above 94% represents an important improvement in identifying and classifying diseases of rubber."