Plant Leaf Disease Recognition Using Convolutional Neural Network

Abstract

Plants are really important for the planet and for all living things and the leaf produces food for the plant by photosynthesis. Also our country, Bangladesh, is an agriculture dependent country. So to save our plants from diseases, we need to detect the plant leaf diseases too. Food production decreases because of plant diseases. So, there is increasing scarcity of foods. For this reason, detecting those plant diseases is important. To classify the disease with only eye observation cannot be correct. Sometimes laboratory tests cannot bring exact results. Nowadays Deep learning methods play an important role in detecting objects. Besides, the Convolutional neural network (CNN) has taken a good area to detect plant diseases. We have solved the problem by using a CNN method (resnet34) and using some layers to predict the diseases. Here, we have summarized DL laws to get accurate predictions of diseases. We also have shown here some CNN principles (resnet34). Progressing the idea of plant disease recognition, will greatly help our farming area. On the other hand, nutrition problems can also be solved and increase the crops cultivation. We have also discussed the future plan and future work about plant diseases recognition.