4.6 Article

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

期刊

IEEE ACCESS
卷 9, 期 -, 页码 161416-161430

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3130900

关键词

Robots; Sensors; Robot sensing systems; Agriculture; Sensor systems; Robot kinematics; Uncertainty; Multi-robot exploration; information collection; cybersecurity; blockchains

资金

  1. National Science Foundation (NSF) through Cyber-Physical Systems (CPS) [1932300]
  2. Division Of Computer and Network Systems
  3. Direct For Computer & Info Scie & Enginr [1932300] Funding Source: National Science Foundation

向作者/读者索取更多资源

Precision agriculture utilizes hardware and software technologies to enable farmers to make informed decisions about agricultural operations. Advancements in agricultural machinery and robotics have increased the resolution at which differentiation is possible, supporting the collection of fine spatial and temporal information.
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.

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