Precision farming for weed management: techniques
Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depend...
Ausführliche Beschreibung
Autor*in: |
Weis, Martin [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2008 |
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Schlagwörter: |
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Anmerkung: |
© Springer-Verlag 2008 |
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Übergeordnetes Werk: |
Enthalten in: Gesunde Pflanzen - Springer-Verlag, 1949, 60(2008), 4 vom: 08. Nov., Seite 171-181 |
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Übergeordnetes Werk: |
volume:60 ; year:2008 ; number:4 ; day:08 ; month:11 ; pages:171-181 |
Links: |
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DOI / URN: |
10.1007/s10343-008-0195-1 |
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Katalog-ID: |
OLC2075377839 |
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520 | |a Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. | ||
650 | 4 | |a Site-specific weed control | |
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700 | 1 | |a Schölderle, Florian |4 aut | |
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10.1007/s10343-008-0195-1 doi (DE-627)OLC2075377839 (DE-He213)s10343-008-0195-1-p DE-627 ger DE-627 rakwb eng 630 VZ 630 640 580 333.7 VZ 12 ssgn BIODIV DE-30 fid Weis, Martin verfasserin aut Precision farming for weed management: techniques 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2008 Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. Site-specific weed control Weed mapping Chemical control Mechanical control Expert systems for weed control Gutjahr, Christoph aut Rueda Ayala, Victor aut Gerhards, Roland aut Ritter, Carina aut Schölderle, Florian aut Enthalten in Gesunde Pflanzen Springer-Verlag, 1949 60(2008), 4 vom: 08. Nov., Seite 171-181 (DE-627)130644269 (DE-600)820036-1 (DE-576)016196538 0367-4223 nnns volume:60 year:2008 number:4 day:08 month:11 pages:171-181 https://doi.org/10.1007/s10343-008-0195-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-OEB SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_151 GBV_ILN_235 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2341 GBV_ILN_2404 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4328 AR 60 2008 4 08 11 171-181 |
spelling |
10.1007/s10343-008-0195-1 doi (DE-627)OLC2075377839 (DE-He213)s10343-008-0195-1-p DE-627 ger DE-627 rakwb eng 630 VZ 630 640 580 333.7 VZ 12 ssgn BIODIV DE-30 fid Weis, Martin verfasserin aut Precision farming for weed management: techniques 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2008 Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. Site-specific weed control Weed mapping Chemical control Mechanical control Expert systems for weed control Gutjahr, Christoph aut Rueda Ayala, Victor aut Gerhards, Roland aut Ritter, Carina aut Schölderle, Florian aut Enthalten in Gesunde Pflanzen Springer-Verlag, 1949 60(2008), 4 vom: 08. Nov., Seite 171-181 (DE-627)130644269 (DE-600)820036-1 (DE-576)016196538 0367-4223 nnns volume:60 year:2008 number:4 day:08 month:11 pages:171-181 https://doi.org/10.1007/s10343-008-0195-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-OEB SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_151 GBV_ILN_235 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2341 GBV_ILN_2404 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4328 AR 60 2008 4 08 11 171-181 |
allfields_unstemmed |
10.1007/s10343-008-0195-1 doi (DE-627)OLC2075377839 (DE-He213)s10343-008-0195-1-p DE-627 ger DE-627 rakwb eng 630 VZ 630 640 580 333.7 VZ 12 ssgn BIODIV DE-30 fid Weis, Martin verfasserin aut Precision farming for weed management: techniques 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2008 Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. Site-specific weed control Weed mapping Chemical control Mechanical control Expert systems for weed control Gutjahr, Christoph aut Rueda Ayala, Victor aut Gerhards, Roland aut Ritter, Carina aut Schölderle, Florian aut Enthalten in Gesunde Pflanzen Springer-Verlag, 1949 60(2008), 4 vom: 08. Nov., Seite 171-181 (DE-627)130644269 (DE-600)820036-1 (DE-576)016196538 0367-4223 nnns volume:60 year:2008 number:4 day:08 month:11 pages:171-181 https://doi.org/10.1007/s10343-008-0195-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-OEB SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_151 GBV_ILN_235 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2341 GBV_ILN_2404 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4328 AR 60 2008 4 08 11 171-181 |
allfieldsGer |
10.1007/s10343-008-0195-1 doi (DE-627)OLC2075377839 (DE-He213)s10343-008-0195-1-p DE-627 ger DE-627 rakwb eng 630 VZ 630 640 580 333.7 VZ 12 ssgn BIODIV DE-30 fid Weis, Martin verfasserin aut Precision farming for weed management: techniques 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2008 Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. Site-specific weed control Weed mapping Chemical control Mechanical control Expert systems for weed control Gutjahr, Christoph aut Rueda Ayala, Victor aut Gerhards, Roland aut Ritter, Carina aut Schölderle, Florian aut Enthalten in Gesunde Pflanzen Springer-Verlag, 1949 60(2008), 4 vom: 08. Nov., Seite 171-181 (DE-627)130644269 (DE-600)820036-1 (DE-576)016196538 0367-4223 nnns volume:60 year:2008 number:4 day:08 month:11 pages:171-181 https://doi.org/10.1007/s10343-008-0195-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-OEB SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_151 GBV_ILN_235 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2341 GBV_ILN_2404 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4328 AR 60 2008 4 08 11 171-181 |
allfieldsSound |
10.1007/s10343-008-0195-1 doi (DE-627)OLC2075377839 (DE-He213)s10343-008-0195-1-p DE-627 ger DE-627 rakwb eng 630 VZ 630 640 580 333.7 VZ 12 ssgn BIODIV DE-30 fid Weis, Martin verfasserin aut Precision farming for weed management: techniques 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2008 Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. Site-specific weed control Weed mapping Chemical control Mechanical control Expert systems for weed control Gutjahr, Christoph aut Rueda Ayala, Victor aut Gerhards, Roland aut Ritter, Carina aut Schölderle, Florian aut Enthalten in Gesunde Pflanzen Springer-Verlag, 1949 60(2008), 4 vom: 08. Nov., Seite 171-181 (DE-627)130644269 (DE-600)820036-1 (DE-576)016196538 0367-4223 nnns volume:60 year:2008 number:4 day:08 month:11 pages:171-181 https://doi.org/10.1007/s10343-008-0195-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-OEB SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_70 GBV_ILN_151 GBV_ILN_235 GBV_ILN_252 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2341 GBV_ILN_2404 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4328 AR 60 2008 4 08 11 171-181 |
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Enthalten in Gesunde Pflanzen 60(2008), 4 vom: 08. Nov., Seite 171-181 volume:60 year:2008 number:4 day:08 month:11 pages:171-181 |
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Enthalten in Gesunde Pflanzen 60(2008), 4 vom: 08. Nov., Seite 171-181 volume:60 year:2008 number:4 day:08 month:11 pages:171-181 |
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Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. © Springer-Verlag 2008 |
abstractGer |
Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. © Springer-Verlag 2008 |
abstract_unstemmed |
Abstract Site-specific weed control techniques have gained interest in the precision farming community over the last years. Managing weeds on a subfield level requires measuring the varying density of weeds within a field. Decision models aid in the selection and adjustment of the treatments, depending on the weed infestation. The weed control can be done either with herbicides or mechanically. A site-specific herbicide application technology can save large amounts of herbicides. Mechanical weed control techniques adapting to the weed situation in the field are applicable to a wide spectrum of crops. Site-specific techniques for the detection and management of weeds are presented. A system for the discrimination of different weed species and crops from images is described, which generates weed maps automatically. Models for the yield effect of weeds are developed and applied in on-farm-research experimental setups. Economic weed thresholds are derived and used for a herbicide application with a patch sprayer. © Springer-Verlag 2008 |
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