Advanced Digital Image Detection and Affected Region Mapping for Rice Plant Diseases Utilizing the Wavelet Transform

Rice fulfills the needs of the three main meals of the people of Bangladesh, and other countries and nations consume rice as well as the staple food. This cereal is widely cultivated in the South Asian region. At present, this grain is exported from Bangladesh to other countries. That is why rice plays an important role in the economy of our country. But every year, this process is disrupted by many causes. Rice leaf diseases is one of them. Large amounts of paddy are wasted every year, leaving the farmers in distress and food shortages looming. This problem is increasing day by day due to the non-diagnosis of the disease at the appropriate time. The main reason for this is due to the fact that rice leaf diseases are not recognized by sight and due to not applying fertilizers and pesticides on time. But to overcome this problem, we have introduced a digital image processing using wavelet and deep learning in this study. Our approach can detect an affected leaf by inputting it into the system in a short time. In our study, preprocessing is done by testing and training datasets of color images. Preprocessing with wavelet based enhancement are included in our system. Thresholding with masking and blob detection are used to segment the required regions of the images in the image. To determining the features is essential for accurate classification. For that purpose, we have extracted features using convolutional neural network layer from the segmented image and by analyzing the feature image, we have identified the affected leaves using the convolutional neural network (CNN). In our study, it is possible to diagnose leaf diseases in rice in a unique way in a very short time. So, the farmers and the officials of the Department of Agriculture will be able to eliminate rice diseases by using fertilizers or pesticides in this system by checking the pictures of the diseases. As a result, we hope food insecurity problem will decrease, and the economic structure of nation will be strengthened.

• Supervision