An Intelligent VegeCare Tool for Corn Disease Classification

4Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Ruedeeniraman, N., Ikeda, M., & Barolli, L. (2021). An Intelligent VegeCare Tool for Corn Disease Classification. In Lecture Notes in Networks and Systems (Vol. 158 LNNS, pp. 1–8). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61105-7_1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free