期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：12
页码：444-449
DOI：10.35629/5252-0312225228
语种：English
出版社：IJAEM JOURNAL
摘要：In this project, we are predicting plant related diseases by using machine learning algorithms and image detection techniques. A considerable per cent of the tomato plant gets destroyed due to the diseases, which can severely affect the farmer’s yield. To overcome the loss of farmers related to disease of the tomato plant we are proposing a system which will be able to detect the disease of the plant by analysing the symptoms related to the leaf of the plant. It will be able to detect the disease related to the plant and will give some suggestions for disease prevention and cure. In order to detect whether the plant is suffering from any kind of diseases or not we will capture the image of the leaf. This image will be classified on the basis of our model. Multiple pre-processing will be done on the image and it will be fed to the prediction model which will tell us about the disease of the plant.
