Multi-Robot Information Gathering for Precision Agriculture: Current State, Scope, and Challenges

IEEE Access

Ladislau Boloni¹  Swapnoneel Roy²  Ayan Dutta²  O. Patrick Kreidl³ 

[1] Department of Computer Science, University of Central Florida, Orlando, FL, USA;School of Computing, University of North Florida, Jacksonville, FL, USA;School of Engineering, University of North Florida, Jacksonville, FL, USA;

关键词: Multi-robot exploration;    information collection;    cybersecurity;    blockchains;   

DOI  :  10.1109/ACCESS.2021.3130900

来源: DOAJ

【 摘 要 】

Precision agriculture is the collection of hardware and software technologies that allow a farmer to make informed, differentiated decisions regarding agricultural operations such as planting, fertilizing, pest control, and harvesting. In recent years, advances in agricultural machinery and the emergence of agricultural robots continuously increased the resolution at which differentiated treatment is possible. This creates a corresponding need for information at a fine spatial and temporal resolution. Autonomous multi-robot systems (e.g., unmanned ground and aerial vehicles) are some of the most promising approaches for such information collection in open-air farms. In this paper, we survey the current state and challenges of multi-robot information gathering for precision agriculture, with a special focus on maximizing information and ensuring the security of the collected data while simultaneously keeping energy consumption in check.

【 授权许可】

Unknown