Rice Leaf Diseases Identify Using Big Transfer

Abstract

In Thailand and numerous other Southeast Asian countries, Rice is one of the most income country products. Rice leaf disease control must be improved in order to enhance rice production. But it is a complicated process dependent on the farmer's experience and local knowledge. Artificial intelligence solutions will become one of the options for resolving this problem and informing all new and existing farmers about the diseases of their products. Big Transfer (BiT) is a deep learning model proposed in this paper for identifying rice leaf disease. BiT-M prediction performance is notable, with 100% prediction accuracy after 19 epochs of training.