Abstract
Due to the decrease of the agricultural population, agriculture has widely applied to machine learning and deep learning. In this paper, we present the classification performance of the proposed VegeCare tool for corn disease classification. We classify the major leaf diseases of the corn crop. The dataset includes four classes: gray leaf spot, common rust, health and northern leaf blight. From this evaluation, we found that our proposed VegeCare tool has a good performance.
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Ruedeeniraman, N., Ikeda, M., Barolli, L. (2021). An Intelligent VegeCare Tool for Corn Disease Classification. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_1
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