Leaf Disease Detection Using Deep Learning Algorithm

Authors

  • Naadem Divya, Sunil Bhutada, C.Venkata Sai Krishna, Masapaka Bhanu Kumar

Abstract

Predictive Modelling techniques are playing a significant role in the field of many areas like medicine, agriculture etc. The crops are affected by various factors such as soil conditions, humidity, climatic conditions and also by various diseases. Usually farmers detect the condition of crops/leaves by naked eyes which require a lot of labor, knowledge about leaf diseases and they also require expensive devices. The improper disease prediction by farmers may lead to the use of wrong pesticide which damages the crop. Many machine learning techniques like SVM, Decision Tree, etc. and Convolutional Neural Network (CNN) are applied to detect the diseases and a comparison study is done on accuracy and for various other factors.

 Keywords:Predictive Modelling, Crop, Disease Prediction, Convolutional Neural Network, Visualization, Accuracy, Remedial Actions

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Published

2020-05-18

Issue

Section

Articles