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

Muhammad Hanif Tunio; Jian Ping Li; Xiaoyang Zeng; Faijan Akhtar; Syed Attique Shah; Awais Ahmed; Yu Yang; Md Belal Bin Heyat

doi:10.1016/j.jksuci.2023.101895

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

Muhammad Hanif Tunio, Jian Ping Li^*, Xiaoyang Zeng, Faijan Akhtar, Syed Attique Shah, Awais Ahmed, Yu Yang, Md Belal Bin Heyat

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (SciVal)

Original language	English
Article number	101895
Journal	Journal of King Saud University - Computer and Information Sciences
Volume	36
Issue number	1
DOIs	https://doi.org/10.1016/j.jksuci.2023.101895
Publication status	Published (VoR) - 4 Jan 2024

Funding

The authors extend their gratitude to the funding organizations. This work was partially supported by the National Natural Science Foundation of China, the National High Technology Research and Development Program of China, the New Century Excellent Talent Support Project of the Chinese Ministry of Education, China, the project of Science and Technology Department of Sichuan Province (Grant No. 2021YFG0322). The project of the Science and Technology Department of Chongqing Municipality, China (Grant No. CSTC2022JXJL0214). The Science and Technology Research Program of Chongqing Municipal Education Commission, China (Grant No. KJZD-K202114401), Chengdu Chengdian Network Technology Co. Ltd. China, Chongqing Qinchengxing Technology Co. Ltd., Chengdu Haitian Digital Technology Co. Ltd. China, Chengdu Civil-military Integration Project Management Co. Ltd. China, and Sichuan Yin Ten Gu Technology Co. Ltd. China This work was partially supported by the National Natural Science Foundation of China , the National High Technology Research and Development Program of China , the New Century Excellent Talent Support Project of the Chinese Ministry of Education, China , the project of Science and Technology Department of Sichuan Province (Grant No. 2021YFG0322 ). The project of the Science and Technology Department of Chongqing Municipality, China (Grant No. CSTC2022JXJL0214 ). The Science and Technology Research Program of Chongqing Municipal Education Commission, China (Grant No. KJZD-K202114401 ), Chengdu Chengdian Network Technology Co., Ltd., China , Chongqing Qinchengxing Technology Co., Ltd. , Chengdu Haitian Digital Technology Co., Ltd., China , Chengdu Civil-military Integration Project Management Co., Ltd., China , and Sichuan Yin Ten Gu Technology Co., Ltd., China

Funders	Funder number
Chengdu Chengdian Network Technology Co. Ltd
Chengdu Chengdian Network Technology Co. Ltd
Chengdu Haitian Digital Technology Co. Ltd
Chengdu Haitian Digital Technology Co., Ltd.
Chinese Ministry of Education, China
Chongqing Qinchengxing Technology Co. Ltd.
Chongqing Qinchengxing Technology Co. Ltd.
Science and Technology Department of Chongqing Municipality, China	CSTC2022JXJL0214
Sichuan Yin Ten Gu Technology Co. Ltd
Sichuan Yin Ten Gu Technology Co., Ltd.
National Natural Science Foundation of China
Science and Technology Department of Sichuan Province	2021YFG0322
Chongqing Municipal Education Commission	KJZD-K202114401
National High-tech Research and Development Program

Keywords

Agricultural datasets
Crop yield estimation
Hyper-parameter optimization
Knowledge transfer
Meta-knowledge

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10.1016/j.jksuci.2023.101895Licence: CC BY-NC-ND

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@article{975a39718c5548299f402b132c260e60,

title = "Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation",

keywords = "Agricultural datasets, Crop yield estimation, Hyper-parameter optimization, Knowledge transfer, Meta-knowledge",

author = "Tunio, {Muhammad Hanif} and Li, {Jian Ping} and Xiaoyang Zeng and Faijan Akhtar and Shah, {Syed Attique} and Awais Ahmed and Yu Yang and Heyat, {Md Belal Bin}",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",

year = "2024",

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day = "4",

doi = "10.1016/j.jksuci.2023.101895",

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T1 - Meta-knowledge guided Bayesian optimization framework for robust crop yield estimation

AU - Tunio, Muhammad Hanif

AU - Li, Jian Ping

AU - Zeng, Xiaoyang

AU - Akhtar, Faijan

AU - Shah, Syed Attique

AU - Ahmed, Awais

AU - Yang, Yu

AU - Heyat, Md Belal Bin

PY - 2024/1/4

Y1 - 2024/1/4

KW - Agricultural datasets

KW - Crop yield estimation

KW - Hyper-parameter optimization

KW - Knowledge transfer

KW - Meta-knowledge

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UR - https://www.open-access.bcu.ac.uk/15141/

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DO - 10.1016/j.jksuci.2023.101895

M3 - Article

AN - SCOPUS:85182219477

SN - 1319-1578

VL - 36

JO - Journal of King Saud University - Computer and Information Sciences

JF - Journal of King Saud University - Computer and Information Sciences

IS - 1

M1 - 101895

ER -

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

Funding

Keywords

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