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：8
页码：144-149
DOI：10.35629/5252-030742934296
语种：English
出版社：IJAEM JOURNAL
摘要：The convolution neural network (CNN) is used with multiple pooling and convolution layers. The dataset of Hibiscus is used for training the model. After the model is trained it is tested accurately to validate the results. From the Hibiscus data we are using 40% of data, for testing purpose that contains images of healthy as well as diseased plants such as powdery mildew, scrub and multiple diseases. The model that has been proposed achieved 90-93% of testing accuracy. This study is focused on machine learning algorithm to detect disease in plant leaf. But, in future model can be implemented from other system to detect the disease lively or else drone can also be used.
