Comparison of SVM, Naive Bayes, and ELM Models in Plant Growth Classification

• 主要な著者: M., Muflih, Silvia, Ratna, Haldi, Budiman, Usman, Syapotro, Muhammad, Hamdani
• フォーマット: 論文
• 言語: English; English
• 出版事項: INTI International University 2024
• 主題: QA75 Electronic computers. Computer science; QA76 Computer software; QK Botany; T Technology (General)
• オンライン･アクセス: http://eprints.intimal.edu.my/2055/1/jods2024_56.pdf; http://eprints.intimal.edu.my/2055/2/596; http://eprints.intimal.edu.my/2055/; http://ipublishing.intimal.edu.my/jods.html

This study investigates the application of machine learning models to predict plant growth milestones based on environmental and treatment data. The dataset comprises categorical variables such as soil type, water frequency, and fertilizer type, alongside numerical variables including sunlight ho...