Site-specific weed control technologies

被引:160
作者
Christensen, S. [1 ]
Sogaard, H. T. [2 ]
Kudsk, P. [3 ]
Norremark, M. [4 ]
Lund, I. [5 ]
Nadimi, E. S. [5 ]
Jorgensen, R. [5 ]
机构
[1] Univ Copenhagen, Dept Agr & Ecol, Fac Life Sci, DK-2630 Taastrup, Denmark
[2] Engn Coll Aarhus, Aarhus C, Denmark
[3] Univ Aarhus, Fac Agr Sci, Dept Integrated Pest Management, Slagelse, Denmark
[4] Univ Aarhus, Fac Agr Sci, Dept Agr Engn, Tjele, Denmark
[5] Univ So Denmark, Fac Engn, Odense, Denmark
关键词
weed patches; weed management; weed sensing; weed recognition; patch spraying; precision weeding; SPATIAL-DISTRIBUTION; DECISION-MODEL; WINTER-WHEAT; ARABLE CROPS; MANAGEMENT; SYSTEM; COLOR;
D O I
10.1111/j.1365-3180.2009.00696.x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Site-specific weed control technologies are defined as machinery or equipment embedded with technologies that detect weeds growing in a crop and, taking into account predefined factors such as economics, take action to maximise the chances of successfully controlling them. In this study, we describe the basic parts of site-specific weed control technologies, comprising weed sensing systems, weed management models and precision weed control implements. A review of state-of-the-art technologies shows that several weed sensing systems and precision implements have been developed over the last two decades, although barriers prevent their breakthrough. Most important among these is the lack of a truly robust weed recognition method, owing to mutual shading among plants and limitations in the capacity of highly accurate spraying and weeding apparatus. Another barrier is the lack of knowledge about the economic and environmental potential for increasing the resolution of weed control. The integration of site-specific information on weed distribution, weed species composition and density and the effect on crop yield, is decisive for successful site-specific weed management.
引用
收藏
页码:233 / 241
页数:9
相关论文
共 69 条
[21]   Site specific weed control in winter wheat [J].
Gerhards, R ;
Sokefeld, M ;
SchulzeLohne, K ;
Mortensen, DA ;
Kuhbauch, W .
JOURNAL OF AGRONOMY AND CROP SCIENCE, 1997, 178 (04) :219-225
[22]   Spatial distribution of annual grass weed populations in winter cereals [J].
Gonzalez-Andujar, JL ;
Saavedra, M .
CROP PROTECTION, 2003, 22 (04) :629-633
[23]   Automated crop and weed monitoring in widely spaced cereals [J].
Hague, T. ;
Tillett, N. D. ;
Wheeler, H. .
PRECISION AGRICULTURE, 2006, 7 (01) :21-32
[24]  
HAHN F, 1993, 57 SCOTT CTR AGR ENG
[25]   COMPETITIVE ASYMMETRY REDUCES SPATIAL EFFECTS ON SIZE-STRUCTURE DYNAMICS IN PLANT-POPULATIONS [J].
HARA, T ;
WYSZOMIRSKI, T .
ANNALS OF BOTANY, 1994, 73 (03) :285-297
[26]   Annual weed distributions can be mapped with kriging [J].
Heisel, T ;
Andreasen, C ;
Ersboll, AK .
WEED RESEARCH, 1996, 36 (04) :325-337
[27]   Cutting weeds with a CO2 laser [J].
Heisel, T ;
Schou, J ;
Christensen, S ;
Andreasen, C .
WEED RESEARCH, 2001, 41 (01) :19-29
[28]  
KEBABIAN PL, 1999, P SPIE PRECISION AGR, V3543, P38
[29]  
KEMPENAAR C., 2005, Proceedings 2005 International Symposium on Crop Protection, Ghent Belgium, P997
[30]   Automatic plant identification with chlorophyll fluorescence fingerprinting [J].
Mika Keränen ;
Eva-Mari Aro ;
Esa Tyystjärvi ;
Olli Nevalainen .
Precision Agriculture, 2003, 4 (1) :53-67