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