Autonomous robotic weed control systems: A review

被引:486
作者
Slaughter, D. C. [1 ]
Giles, D. K. [1 ]
Downey, D. [1 ]
机构
[1] Univ Calif Davis, Davis, CA 95616 USA
关键词
robot; weed recognition; machine vision; geospatial technology; pest management; precision agriculture;
D O I
10.1016/j.compag.2007.05.008
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Autonomous robotic weed control systems hold promise toward the automation of one of agriculture's few remaining unmechanized and drudging tasks, hand weed control. Robotic technology may also provide a means of reducing agriculture's current dependency on herbicides, improving its sustainability and reducing its environmental impact. This review describes the current status of the four core technologies (guidance, detection and identification, precision in-row weed control, and mapping) required for the successful development of a general-purpose robotic system for weed control. Of the four, detection and identification of weeds under the wide range of conditions common to agricultural fields remains the greatest challenge. A few complete robotic weed control systems have demonstrated the potential of the technology in the field. Additional research and development is needed to fully realize this potential. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:63 / 78
页数:16
相关论文
共 101 条
  • [21] Downey D., 2004, California Agriculture, V58, P218, DOI 10.3733/ca.v058n04p218
  • [22] Pulsed-jet microspray applications for high spatial resolution of deposition on biological targets
    Downey, D
    Giles, DK
    Slaughter, DC
    [J]. ATOMIZATION AND SPRAYS, 2004, 14 (02) : 93 - 109
  • [23] USE OF HOUGH TRANSFORMATION TO DETECT LINES AND CURVES IN PICTURES
    DUDA, RO
    HART, PE
    [J]. COMMUNICATIONS OF THE ACM, 1972, 15 (01) : 11 - &
  • [24] Ehsani MR, 2004, T ASAE, V47, P909, DOI 10.13031/2013.16088
  • [25] Multi-spectral vision system for weed detection
    Feyaerts, F
    van Gool, L
    [J]. PATTERN RECOGNITION LETTERS, 2001, 22 (6-7) : 667 - 674
  • [26] FRANZ E, 1991, T ASAE, V34, P682
  • [27] FRANZ E, 1991, T ASAE, V34, P673
  • [28] FUJII Y, 1989, Patent No. 4868752
  • [29] GARRETT R. E., 1966, Agric. Engng., V47, P652
  • [30] GARRETT RE, 1966, J AM SOC SUGAR BEET, V14, P206