International Journal of Integrative Sciences
Vol. 4 No. 1 (2025): January 2025

Application of Random Forest for Rice Plant Disease Classification

Rosyani, Perani (Unknown)
Lutfi, Anang Muhamad (Unknown)
Purwadi, Eko (Unknown)
Kamaluddin (Unknown)
Hanaan, Yusuf Ali (Unknown)
Ikasari, Ines Heidiani (Unknown)

Article Info

Publish Date
01 Feb 2025

Abstract

Indonesia's agricultural sector faces significant challenges in maintaining rice production due to land conversion, pest attacks, and poor irrigation. Early detection of rice leaf diseases is critical to mitigating these challenges. This study applies the Random Forest (RF) algorithm to classify three rice leaf diseases: Bacterial Leaf Blight, Brown Spot, and Leaf Smut. The proposed method achieved an accuracy of 75%, demonstrating its effectiveness in disease detection. This research provides a foundation for integrating machine learning to improve crop management and agricultural productivity

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Journal Info
International Journal of Integrative Sciences
Website

Abbrev

ijis

Publisher

PT FORMOSA CENDEKIA GLOBAL

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Social Sciences

Description

International Journal of Integrative Sciences (IJIS) is an international peer-review, and double-blind review journal published by Formosa Publisher. The IJIS is aimed to provide a forum for review, reflection, and discussion informed by the results of recent and ongoing research from a ...