Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation

Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation

Accurate pre-harvest crop yield estimation is vital for agricultural sustainability and economic stability. The existing yield estimating models exhibit deficiencies in insufficient examination of hyperparameters, lack of robustness, restricted transferability of meta-models, and uncertain generaliz...

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Bibliographic Details
Main Authors: Muhammad Hanif Tunio, Jian Ping Li, Xiaoyang Zeng, Faijan Akhtar, Syed Attique Shah, Awais Ahmed, Yu Yang, Md Belal Bin Heyat
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Crop yield estimation
Agricultural datasets
Meta-knowledge
Hyper-parameter optimization
Knowledge transfer
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823004494

Internet

http://www.sciencedirect.com/science/article/pii/S1319157823004494

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