Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize

In spring 2011, two field trials on site-specific weed control in winter wheat and maize were carried out at Ihinger Hof research station of the University of Hohenheim. For the image acquisition, bi-spectral cameras were mounted on a vehicle. These cameras are able to take images free from disturba...

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Main Authors: Sökefeld, Markus, Keller, Martina, Weis, Martin, Gutjahr, Christoph, Gerhards, Roland
Format: Article
Language:deu
Published: Julius Kühn-Institut 2012-03-01
Series:Julius-Kühn-Archiv
Subjects:
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spelling doaj-d02711c0bde947e9b43a6b6a91112e992020-11-25T00:44:51ZdeuJulius Kühn-InstitutJulius-Kühn-Archiv1868-98922012-03-0143418319010.5073/jka.2012.434.022Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maizeSökefeld, MarkusKeller, MartinaWeis, MartinGutjahr, ChristophGerhards, RolandIn spring 2011, two field trials on site-specific weed control in winter wheat and maize were carried out at Ihinger Hof research station of the University of Hohenheim. For the image acquisition, bi-spectral cameras were mounted on a vehicle. These cameras are able to take images free from disturbances by soil, mulch and stones. Images and the corresponding GPS-data were stored on-the-go. Afterwards, the images were analyzed by a weed recognition software. Weed infestation was mapped in consideration of weed species and weeds grouped according to their herbicide sensitivity. In order to simulate an online herbicide application, a onesided moving average of order five was used for the weed mapping. This kind of rearward calculation uses only the data of weed infestation which were already assessed behind or directly in the current position of the vehicle. The calculated weed distribution maps were checked by visual grid sampling. Herbicide application maps were generated by applying weed thresholds on the weed distribution maps. The herbicide application based on the maps was conducted by a multiple sprayer which allows the application of up to three herbicides independently from each other in a single pass across the field. Later on, the performance of the herbicide application was controlled again by visual grid sampling. Compared to a uniform herbicide application, the sitespecific weed control saved 83 % and 58 % herbicides respectively in winter wheat and 66 % in maize. The average efficacy of the site-specific herbicide application system in winter wheat was 70 % of the conventional herbicide application. BildverarbeitungBispektralkamerasHerbizidapplikationteilschlagspezifischUnkrautkontrollebi-spectral camerasherbicide applicationimage analysissite-specificweed control
collection DOAJ
language deu
format Article
sources DOAJ
author Sökefeld, Markus
Keller, Martina
Weis, Martin
Gutjahr, Christoph
Gerhards, Roland
spellingShingle Sökefeld, Markus
Keller, Martina
Weis, Martin
Gutjahr, Christoph
Gerhards, Roland
Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
Julius-Kühn-Archiv
Bildverarbeitung
Bispektralkameras
Herbizidapplikation
teilschlagspezifisch
Unkrautkontrolle
bi-spectral cameras
herbicide application
image analysis
site-specific
weed control
author_facet Sökefeld, Markus
Keller, Martina
Weis, Martin
Gutjahr, Christoph
Gerhards, Roland
author_sort Sökefeld, Markus
title Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
title_short Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
title_full Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
title_fullStr Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
title_full_unstemmed Using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
title_sort using bi-spectral imaging technology for simulated online-weed control in winter wheat and maize
publisher Julius Kühn-Institut
series Julius-Kühn-Archiv
issn 1868-9892
publishDate 2012-03-01
description In spring 2011, two field trials on site-specific weed control in winter wheat and maize were carried out at Ihinger Hof research station of the University of Hohenheim. For the image acquisition, bi-spectral cameras were mounted on a vehicle. These cameras are able to take images free from disturbances by soil, mulch and stones. Images and the corresponding GPS-data were stored on-the-go. Afterwards, the images were analyzed by a weed recognition software. Weed infestation was mapped in consideration of weed species and weeds grouped according to their herbicide sensitivity. In order to simulate an online herbicide application, a onesided moving average of order five was used for the weed mapping. This kind of rearward calculation uses only the data of weed infestation which were already assessed behind or directly in the current position of the vehicle. The calculated weed distribution maps were checked by visual grid sampling. Herbicide application maps were generated by applying weed thresholds on the weed distribution maps. The herbicide application based on the maps was conducted by a multiple sprayer which allows the application of up to three herbicides independently from each other in a single pass across the field. Later on, the performance of the herbicide application was controlled again by visual grid sampling. Compared to a uniform herbicide application, the sitespecific weed control saved 83 % and 58 % herbicides respectively in winter wheat and 66 % in maize. The average efficacy of the site-specific herbicide application system in winter wheat was 70 % of the conventional herbicide application.
topic Bildverarbeitung
Bispektralkameras
Herbizidapplikation
teilschlagspezifisch
Unkrautkontrolle
bi-spectral cameras
herbicide application
image analysis
site-specific
weed control
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AT kellermartina usingbispectralimagingtechnologyforsimulatedonlineweedcontrolinwinterwheatandmaize
AT weismartin usingbispectralimagingtechnologyforsimulatedonlineweedcontrolinwinterwheatandmaize
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