2023
DOI: 10.26554/sti.2023.8.2.288-297
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A Bootstrap-Aggregating in Random Forest Model for Classification of Corn Plant Diseases and Pests

Abstract: Control of diseases and pests of maize plants is a significant challenge to ensure global food security, self-sufficiency, and sustainable agriculture. Classification or early detection of diseases and pests of corn plants is intended to assist the control process. Random forest is a classification model in tree-based statistical learning in making decisions. This approach is an ensemble method that generates many decision trees and makes classification decisions based on the majority of trees selecting the sa… Show more

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Cited by 2 publications
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