A review on the hyperparameters used in machine learning approaches for classifying paddy rice field

• 主要な著者: Lerryson Jomin, Rayner Alfred
• フォーマット: Proceedings
• 言語: English; English
• 出版事項: Springer 2022
• 主題: Q1-390 Science (General)
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/34242/1/A%20review%20on%20the%20hyperparameters%20used%20in%20machine%20learning%20approaches%20for%20classifying%20paddy%20rice%20field.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34242/2/A%20Review%20on%20the%20Hyperparameters%20Used%20in%20Machine%20Learning%20Approaches%20for%20Classifying%20Paddy%20Rice%20Field.pdf; https://eprints.ums.edu.my/id/eprint/34242/; https://link.springer.com/chapter/10.1007/978-981-16-8515-6_4

Malaysia’s rice production, consumption and area harvested are relatively small compared to its neighboring countries. Farmers lose an estimated average of 37% of their rice crop to pests and diseases every year due to poor pests and disease monitoring for the paddy rice. The research aims to find th...