Paper Title
Predicting the Rice Leaf Diseases using CNN

Abstract
There are numerous bacterial, viral, or fungal diseases that affect the rice leaf and drastically reduce rice yield. To meet the massive global population's demand for rice, it is essential to spot rice leaf diseases. To recognize rice leaf disease, you must need similar visual backdrops and picture taking parameters, nevertheless. On The detection of rice leaf diseases is made possible by the convolutional neural network (CNN) based model a popular area of research. The conventional CNN-based models can only learn large-scale network parameters, and overall classification rates on alternative datasets drastically decline. Keywords - Fungal diseases, Visual backdrops,CNN.