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All Journal International Journal of Integrative Sciences
Hanaan, Yusuf Ali
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Social Sciences

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Application of Random Forest for Rice Plant Disease Classification Rosyani, Perani; Lutfi, Anang Muhamad; Purwadi, Eko; Kamaluddin; Hanaan, Yusuf Ali; Ikasari, Ines Heidiani
International Journal of Integrative Sciences Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v4i1.13477

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
Co-Authors Eko Purwadi Ines Heidiani Ikasari Kamaluddin Lutfi, Anang Muhamad Perani Rosyani