Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. / Gerhards, R; Christensen, Svend.

In: Weed Research, Vol. 43, No. 6, 18.11.2003, p. 385-392.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Gerhards, R & Christensen, S 2003, 'Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley', Weed Research, vol. 43, no. 6, pp. 385-392. https://doi.org/10.1046/j.1365-3180.2003.00349.x

APA

Gerhards, R., & Christensen, S. (2003). Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. Weed Research, 43(6), 385-392. https://doi.org/10.1046/j.1365-3180.2003.00349.x

Vancouver

Gerhards R, Christensen S. Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. Weed Research. 2003 Nov 18;43(6):385-392. https://doi.org/10.1046/j.1365-3180.2003.00349.x

Author

Gerhards, R ; Christensen, Svend. / Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. In: Weed Research. 2003 ; Vol. 43, No. 6. pp. 385-392.

Bibtex

@article{ae2cd7690f134aada3c1c120fb222823,
title = "Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley",
abstract = "Information on temporal and spatial variation in weed seedling populations within agricultural fields is very important for weed population assessment and management. Most of all, it allows a potential reduction in herbicide use, when post-emergence herbicides are only applied to field sections with weed infestation levels higher than the economic weed threshold; a review of such work is provided. This paper presents a system for site-specific weed control in sugarbeet (Beta vulgaris L.), maize (Zea mays L.), winter wheat (Triticum aestivum L.) and winter barley (Hordeum vulgare L.), including online weed detection using digital image analysis, computer-based decision making and global positioning systems (GPS)-controlled patch spraying. In a 4-year study, herbicide use with this map-based approach was reduced in winter cereals by 60% for herbicides against broad-leaved weeds and 90% for grass weed herbicides. In sugarbeet and maize, average savings for grass weed herbicides were 78% in maize and 36% in sugarbeet. For herbicides against broad-leaved weeds, 11% were saved in maize and 41% in sugarbeet.",
author = "R Gerhards and Svend Christensen",
year = "2003",
month = nov,
day = "18",
doi = "10.1046/j.1365-3180.2003.00349.x",
language = "English",
volume = "43",
pages = "385--392",
journal = "Weed Research",
issn = "0043-1737",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley

AU - Gerhards, R

AU - Christensen, Svend

PY - 2003/11/18

Y1 - 2003/11/18

N2 - Information on temporal and spatial variation in weed seedling populations within agricultural fields is very important for weed population assessment and management. Most of all, it allows a potential reduction in herbicide use, when post-emergence herbicides are only applied to field sections with weed infestation levels higher than the economic weed threshold; a review of such work is provided. This paper presents a system for site-specific weed control in sugarbeet (Beta vulgaris L.), maize (Zea mays L.), winter wheat (Triticum aestivum L.) and winter barley (Hordeum vulgare L.), including online weed detection using digital image analysis, computer-based decision making and global positioning systems (GPS)-controlled patch spraying. In a 4-year study, herbicide use with this map-based approach was reduced in winter cereals by 60% for herbicides against broad-leaved weeds and 90% for grass weed herbicides. In sugarbeet and maize, average savings for grass weed herbicides were 78% in maize and 36% in sugarbeet. For herbicides against broad-leaved weeds, 11% were saved in maize and 41% in sugarbeet.

AB - Information on temporal and spatial variation in weed seedling populations within agricultural fields is very important for weed population assessment and management. Most of all, it allows a potential reduction in herbicide use, when post-emergence herbicides are only applied to field sections with weed infestation levels higher than the economic weed threshold; a review of such work is provided. This paper presents a system for site-specific weed control in sugarbeet (Beta vulgaris L.), maize (Zea mays L.), winter wheat (Triticum aestivum L.) and winter barley (Hordeum vulgare L.), including online weed detection using digital image analysis, computer-based decision making and global positioning systems (GPS)-controlled patch spraying. In a 4-year study, herbicide use with this map-based approach was reduced in winter cereals by 60% for herbicides against broad-leaved weeds and 90% for grass weed herbicides. In sugarbeet and maize, average savings for grass weed herbicides were 78% in maize and 36% in sugarbeet. For herbicides against broad-leaved weeds, 11% were saved in maize and 41% in sugarbeet.

U2 - 10.1046/j.1365-3180.2003.00349.x

DO - 10.1046/j.1365-3180.2003.00349.x

M3 - Journal article

VL - 43

SP - 385

EP - 392

JO - Weed Research

JF - Weed Research

SN - 0043-1737

IS - 6

ER -

ID: 47285511