地球空间信息科学学报（英文版）2026，Vol.29Issue(1)：中插9,193-210,19.DOI:10.1080/10095020.2025.2519374
Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards
Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards
Ruipeng Tang 1Jianrui Tang 2Narendra Kumar Aridas 1Mohamad Sofian Abu Talip 1Loy Chee Luen3
作者信息
- 1. Department of Electrical Engineering,Faculty of Engineering,University of Malaya,Kuala Lumpur,Malaysia
- 2. Department of Computer Science and Technology,School of Information Engineering,Shanghai Maritime University,Shanghai,China
- 3. Faculty of Human Development,Sultan Idris Education University,Tanjung Malim,Malaysia
- 折叠
摘要
关键词
Artificial intelligence in precision agriculture/drone pesticide spraying/artificial intelligence agricultural control/incremental PID control/smart farming technologies/RBF neural network/adaptive control systems/artificial intelligence applicationKey words
Artificial intelligence in precision agriculture/drone pesticide spraying/artificial intelligence agricultural control/incremental PID control/smart farming technologies/RBF neural network/adaptive control systems/artificial intelligence application引用本文复制引用
Ruipeng Tang,Jianrui Tang,Narendra Kumar Aridas,Mohamad Sofian Abu Talip,Loy Chee Luen..Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards[J].地球空间信息科学学报（英文版）,2026,29(1):中插9,193-210,19.
