Site-specific weed control using digital image analysis and georeferenced application maps: On-farm experiences

H. Oebel; R. Gerhards

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Site-specific weed control using digital image analysis and georeferenced application maps: On-farm experiences

In: Precision Agriculture â05

Authors:

H. Oebel

H. Oebel oebel@uni-hohenheim.de

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R. Gerhards

R. Gerhards
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Type:: Chapter

Pages:: 131â138

DOI:: https://doi.org/10.3920/978-90-8686-549-9_016

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Site specific weed control was performed in cereals, sugar beet, maize and rape using application maps and economic weed thresholds. Manual and GIS-based weed sampling methods and automatic image analysis for real-time weed identification in the field was tested on farm. For automatic weed detection, bispectral cameras were mounted on the spray boom taking images of crops and weed vegetation. A GPS was used for georeferencing of each image. An image analysis software was programmed to identify crops and weed species and classes of broad-leaved weeds, grass weeds and Galium aparine based on characteristic shape features. Automatic classification resulted in 69% (sugar beet) and 72% (maize) correct identification.

Site-specific herbicide application was performed using a GPS-controlled patch sprayer with three separated hydraulic circuits that was developed at the research station Dikopshof/Institute of Agronomy in collaboration with RAU/Kverneland Group. The sprayer had a width of 21 m and was divided into 7 sections of 3 m each.

Herbicide savings ranged from 22 % to 60 % for grass weed species and from 6 % to 77 % for broadleaf weed species.

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Precision Agriculture â05

E-Book ISBN:: 9789086865499

Publisher:: Wageningen Academic

Print Publication Date:: 24 Oct 2005

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- Life Sciences
  - General
  - Agriculture & Environment

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Site-specific weed control using digital image analysis and georeferenced application maps: On-farm experiences

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Precision Agriculture â05

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