A class imbalance aware hybrid model for accurate rice variety classification

A class imbalance aware hybrid model for accurate rice variety classification

Rice classification plays a critical role in global agriculture, impacting the food security of over 3.5 billion people worldwide. As the complexity of this task has grown, advanced Machine Learning (ML) and Deep Learning (DL) models have emerged as powerful tools for accurate variety identification...

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Main Authors: Hanumesh Vaidya, K.V. Prasad, C. Rajashekhar, D Tripathi, Renuka S, Jyoti Shetty, Kumar Swamy, Shobha Y
格式: 文件
语言:English
出版: KeAi Communications Co., Ltd. 2025-12-01
丛编:International Journal of Cognitive Computing in Engineering
主题:
Class imbalance
XGBoost
MLP
Multiclass classification
在线阅读:http://www.sciencedirect.com/science/article/pii/S2666307424000585

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http://www.sciencedirect.com/science/article/pii/S2666307424000585

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