The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops

被引:129
作者
Norremark, M. [1 ]
Griepentrog, H. W. [2 ]
Nielsen, J. [2 ]
Sogaard, H. T. [3 ]
机构
[1] Univ Aarhus, Fac Agr Sci, Dept Agr Engn, DK-8700 Horsens, Denmark
[2] Univ Copenhagen, Fac Life Sci, Dept Agr Sci, DK-2630 Taastrup, Denmark
[3] Engn Coll Aarhus, DK-8000 Aarhus C, Denmark
关键词
D O I
10.1016/j.biosystemseng.2008.09.007
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Highly selective mechanical weed control within crop rows as an alternative to herbicide treatment requires the accurate guidance of tools around individual crop plants. The objectives of the research presented in this paper were to develop and optimise a novel self-propelled and unmanned hoeing system for intra-row weed control based on real-time kinematic global positioning system (RTKGPS) navigation, and to evaluate its performance under field conditions. The system comprised an autonomous tractor and a side-shifting frame, both equipped with RTK-GPS, and an attached cycloid hoe, which is a tine-rotor with eight sigmoid-shaped, vertically directed tines that can be released to allow individual rotation in order to avoid collision with geo-referenced crop plants. The system navigates with reference to predefined waypoints for hoeing parallel to crop rows and around individual crop plants. Field experiments using plastic sticks as artificial crop plants, placed with a mean within-row spacing of 0.2 m and variation typical under field conditions, confirmed that the system reliably performed hoeing within crop rows without colliding with the plastic sticks at forward velocities up to 0.52 m s(-1). The side-shift enabled control of the transverse position of the cycloid hoe and was able to follow the row line with an accuracy of +/- 16 mm (P=0.95) at 0.31 m s(-1) and +/- 22 mm (P=0.95) at 0.52 m s(-1) forward velocity. Tines intruded into the required uncultivated zone, which had a radius of 10 mm from the centre of individual plants, with a maximum distance of 9 mm for 18 out of 1224 observations. Sufficient accuracy of the real-time positioning and control system was provided by using a Kalman filter, signal processing of the tilt data, and control algorithms developed for the side-shift and cycloid hoe control systems. (C) 2008 IAgrE. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:396 / 410
页数:15
相关论文
共 27 条
[1]   An agricultural mobile robot with vision-based perception for mechanical weed control [J].
Åstrand, B ;
Baerveldt, AJ .
AUTONOMOUS ROBOTS, 2002, 13 (01) :21-35
[2]  
ASTRAND B, 2004, P IEEE C MECH ROB 20, P1191
[3]  
ASTROM KJ, 1995, PID CONTROLLERS THEO, P120
[4]   Agricultural robotic platform with four wheel steering for weed detection [J].
Bak, T ;
Jakobsen, H .
BIOSYSTEMS ENGINEERING, 2004, 87 (02) :125-136
[5]  
Blackmore B. S., 2004, CIGR INT C BEIJ
[6]   Robotic weed control using machine vision [J].
Blasco, J ;
Aleixos, N ;
Roger, JM ;
Rabatel, G ;
Moltó, E .
BIOSYSTEMS ENGINEERING, 2002, 83 (02) :149-157
[7]   Non-chemical weed management in organic farming systems [J].
Bond, W ;
Grundy, AC .
WEED RESEARCH, 2001, 41 (05) :383-405
[8]  
BROWN R. G., 2012, INTRO RANDOM SIGNALS
[9]  
Ehsani MR, 2004, T ASAE, V47, P909, DOI 10.13031/2013.16088
[10]   Seed Mapping of Sugar Beet [J].
H. W. Griepentrog ;
M. Nørremark ;
H. Nielsen ;
B. S. Blackmore .
Precision Agriculture, 2005, 6 (2) :157-165