Rice Leaf Diseases Classification Using Cnn With Transfer Learning

Rice is one of the major cultivated crops in India which is affected by various diseases at various stages of its cultivation. It is very difficult for the farmers to manually identify these diseases accurately with their limited knowledge. Recent developments in Deep Learning show that Automatic Image Recognition systems using Convolutional Neural Network (CNN) models can be very beneficial in such problems. 

To aid the plight of the farmers and provide improved accuracy of plant disease detection, research work using various machine learning algorithms including Support Vector Machine (SVM), Artificial Neural Networks have been done. However, the accuracy of such systems is highly dependent on feature selection techniques. Recent researches on convolutional neural networks have provided great breakthrough in image based recognition by eliminating the need for image preprocessing as well as providing inbuilt feature selection.

Keywords: Convolutional Neural Network, Deep Learning, Fine-Tuning, Rice Leaf Diseases, Transfer Learning.