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

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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Lerryson Jomin, Rayner Alfred
التنسيق: Proceedings
اللغة:English
English
منشور في: Springer 2022
الموضوعات:
الوصول للمادة أونلاين: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
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