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@article{155494,
        author = {Pratiksha Wable and Paritosh Jain and Pankaj Chandre},
        title = {Identify the category of foilar disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1269-1272},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155494},
        abstract = {Accurate identification and early diagnosis of apple tree leaf disease can control the spread of infection, to reduce use of chemical fertilizers and pesticides, to improve the quality of apples and maintain the healthy development of apples. First, collect the images of leaves with or without disease from Kaggle, and it contains two common apple tree leaf diseases and healthy leaves. The common leaf diseases are scab, multiple diseases and Rust. We build our model using convolution neural network. The proposed network achieves overall accuracy of 96% in identifying the apple tree leaf disease.},
        keywords = {CNN, Machine learning, keras, Tensorflow},
        month = {},
        }