IMAGE PROCESSING BASED INTELLIGENT SPRAYING ROBOT FOR WEED CONTROL

dc.contributor.authorSabanci, Kadir
dc.contributor.authorAydin, Cevat
dc.date.accessioned2020-03-26T19:24:37Z
dc.date.available2020-03-26T19:24:37Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAt weed control, physico-mechanical is the most commonly used method in chemical weeding in the world and in our country despite genetic, biological and biotechnical methods. Pesticide use in agriculture has increased in recent years. Because of the difficulty in finding farm workers and damage to sugar beets caused by farm workers due to their carelessness during hoeing, the use of chemicals has increased. However, because the pesticide used in chemical weeding affect human health, the environment and the natural balance negatively and because of increased production costs pesticides should be applied precisely, cautiously and with the minimum agricultural pesticide loss. In this study, image processing based intelligent spraying robot was developed. Variable levelled herbicide was applied on weed by using image processing techniques. The covering rate of the spraying liquid applied on the weeds was determined for 8 different speed values of robot when nozzle height of the spraying robot is 50 and 30 cm. A reduction of 40% led to a decrease of 9.42% for 4 weed averagely in the covering value of the spraying liquid to the weed.en_US
dc.description.sponsorshipScientific Research Projects Coordination Office of Selcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThe authors acknowledge the support of this study by the Scientific Research Projects Coordination Office of Selcuk University.en_US
dc.identifier.endpage5312en_US
dc.identifier.issn1018-4619en_US
dc.identifier.issn1610-2304en_US
dc.identifier.issue12en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage5305en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33691
dc.identifier.volume25en_US
dc.identifier.wosWOS:000391345600028en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPARLAR SCIENTIFIC PUBLICATIONS (P S P)en_US
dc.relation.ispartofFRESENIUS ENVIRONMENTAL BULLETINen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectImage processingen_US
dc.subjectprecision agricultureen_US
dc.subjectrobotic weedingen_US
dc.subjectweed controlen_US
dc.titleIMAGE PROCESSING BASED INTELLIGENT SPRAYING ROBOT FOR WEED CONTROLen_US
dc.typeArticleen_US

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