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

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...

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書誌詳細
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
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