A Novel Transfer Learning Technique for Rice Leaf Disease Detection

Image processing has become more sophisticated over the course of the last several years. In this study, we are presenting a model that, based on a convolution network, can identify the status of the rice leaf, namely whether it is a healthy leaf or one that has been afflicted by any illness. Where rice is widely regarded as the primary source of sustenance not just in India but also in other areas of the globe. The agriculture may get infected with the illness and the crops may be affected by the disease for some of the causes listed above. When it may be more difficult to discover the kind of illness, and where farmers may not have the information to find the specific type of disease that an infected leaf was afflicted with. In order to do this, we are use the VGG16 network, which is an architecture based on a convolution neural network (CNN). This is done so that the crop disease can be readily identified, and so that correct findings can be obtained.