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 journalArticlepeer-review

    Original languageEnglish
    Article number101895
    JournalJournal of King Saud University - Computer and Information Sciences
    Volume36
    Issue number1
    DOIs
    Publication statusPublished (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

    FundersFunder 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, ChinaCSTC2022JXJL0214
    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 Province2021YFG0322
    Chongqing Municipal Education CommissionKJZD-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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