Development of an Automatic System to Detect and Spray Herbicides in Corn Fields

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dc.contributor.authorKaradöl, Hayrettin
dc.contributor.authorAybek, Ali
dc.contributor.authorÜçgül, Mustafa
dc.contributor.departmentZiraat Fakültesitr_TR
dc.date.accessioned2021-09-29T13:32:05Z
dc.date.available2021-09-29T13:32:05Z
dc.date.issued2020-06-04
dc.description.abstractWeed control is vital in agricultural production. Chemical control methods are generally preferred in weed control as they (1) affect quickly and (2) reduce the labour requirement. However, in conventional applications chemicals are generally applied to whole field surface. Therefore, non-targeted areas are also sprayed. This increases 1) amount of herbicide used and (2) risk of off-target chemical movement. In this study, a patch spraying system was developed to automatically detect and spray herbicides on weeds in the corn field based on weed density. In order to determine the weed regions, a digital camera was fitted in front of the tractor. The images taken using the camera were then simultaneously processed using an algorithm written in MatlabTM software. The results of the field study showed that at 4, 6 and 8 km h-1 forward speeds, application volumes decrease by 30.21%, 28.82% and 32.28%, respectively, when it is compared to the conventional application methods. It was also determined that the application accuracy rates were 80%, 81.66% and 75% respectively for 4, 6 and 8 km h-1 speeds.tr_TR
dc.identifier.endpage200tr_TR
dc.identifier.issn/e-issn2148-9297
dc.identifier.issue2tr_TR
dc.identifier.startpage190tr_TR
dc.identifier.urihttps://doi.org/10.15832/ankutbd.495903tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/75055
dc.identifier.volume26tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesitr_TR
dc.relation.isversionof10.15832/ankutbd.495903tr_TR
dc.relation.journalTarım Bilimleri Dergisitr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR
dc.subjectPatch sprayingtr_TR
dc.subjectWeed detectiontr_TR
dc.subjectSpraying applicationtr_TR
dc.titleDevelopment of an Automatic System to Detect and Spray Herbicides in Corn Fieldstr_TR
dc.typeArticletr_TR

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Cilt:26 Sayı:02 (2020)