IMAGE PROCESSING BASED INTELLIGENT SPRAYING ROBOT FOR WEED CONTROL
dc.contributor.author | Sabanci, Kadir | |
dc.contributor.author | Aydin, Cevat | |
dc.date.accessioned | 2020-03-26T19:24:37Z | |
dc.date.available | 2020-03-26T19:24:37Z | |
dc.date.issued | 2016 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | At 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.sponsorship | Scientific Research Projects Coordination Office of Selcuk UniversitySelcuk University | en_US |
dc.description.sponsorship | The authors acknowledge the support of this study by the Scientific Research Projects Coordination Office of Selcuk University. | en_US |
dc.identifier.endpage | 5312 | en_US |
dc.identifier.issn | 1018-4619 | en_US |
dc.identifier.issn | 1610-2304 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 5305 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/33691 | |
dc.identifier.volume | 25 | en_US |
dc.identifier.wos | WOS:000391345600028 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | PARLAR SCIENTIFIC PUBLICATIONS (P S P) | en_US |
dc.relation.ispartof | FRESENIUS ENVIRONMENTAL BULLETIN | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Image processing | en_US |
dc.subject | precision agriculture | en_US |
dc.subject | robotic weeding | en_US |
dc.subject | weed control | en_US |
dc.title | IMAGE PROCESSING BASED INTELLIGENT SPRAYING ROBOT FOR WEED CONTROL | en_US |
dc.type | Article | en_US |