Plant Leaf Disease Detection using CNN

Plant Leaf Disease Detection using CNN

D.Iruthaya Antony Prethika, P.G, Student,

Department of Computer Science and Engineering, Thoothukudi

V. Revathy, Assistant Professor,

Department of Computer Science and Engineering, Thoothukudi

Address

iruthayaantonyprethika2072000@gmail.com

Abstract—  Plants and crops that are infected by pests have an impact on the country's agricultural production. Usually, farmers or professionals keep a close eye on the plants in order to discover and identify diseases. However, this procedure is frequently time-consuming costly, andimprecise. Plant disease detection can be done by looking for a spot on the diseased plant's leaves. The goal of this paper is to create a Disease Recognition Model that is supported by leaf image classification. To detect plant diseases, we are utilizing image processing with a Convolution neural network (CNN). A convolutional neural network(CNN) is a form of artificial neural network that is specifically intended to process pixel input and is used in image recognition.Farmers do not expertise in leaf disease so they produce less production. Plant leaf diseases detection is the important because profit and loss are depends on production.

Index Terms: Image processing,Crops,Support vector Machine,Plant disease,Classification.

Keywords— Heart Disease, Diabetes, Machine Learning.