The Association Rule of Corn Disease Symptoms by Using Frequent Pattern Growth and Random Forest

DOI

10.2991/icst-18.2018.33How to use a DOI?

Keywords

frequent pattern growth, decision tree, random forest, corn disease symptoms

Abstract

Despite proper soil health management, pests and diseases control is also an important task in corn farming for improving both the quality and the quality of the crops production. One way to address this challenge is to identify the emerging symptoms accurately to help define the appropriate solution. Downy, Leaf Blight, Rot midrib, Rot Stem, Leaf Rust, Burnt, Dwarf, Leaf spot are among the common symptoms on corn crops. Failure to identify these symptoms in the early stage could result adverse effects on the corn crops and reduce the production in the long run. This study therefore aims to classify corn disease symptoms to know the real disease. In this study, Decision trees and Frequent Pattern Growth (FP Growth) are employed. Analysis from the data indicated accuracy values

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Achmad Yasid
AU  - Budi Dwi Satoto
PY  - 2018/12
DA  - 2018/12
TI  - The Association Rule of Corn Disease Symptoms by Using Frequent Pattern Growth and Random Forest
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 153
EP  - 158
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.33
DO  - 10.2991/icst-18.2018.33
ID  - Yasid2018/12
ER  -