Application of Artificial Intelligence Methods to Predict Cotton Production in Turkey

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dc.contributor.authorMikail, Nazire
dc.contributor.authorBaran, Mehmet Fırat
dc.date.accessioned2024-12-24T19:17:06Z
dc.date.available2024-12-24T19:17:06Z
dc.date.issued2021
dc.departmentSiirt Üniversitesi
dc.description.abstractFarmers are always curious about the factors affecting yield in plant production. Determining thesefactors can give information about the yield in the future. Reliability of information is dependent on a goodprediction model. According to the operating process artificial neural networks imitate the neural network inhumans. The ability to make predictions for the current situation by combining the information people havegained from different experiences is designed in artificial neural networks. Therefore, in complex problems, itgives better results than conventional statistical methods. In this study, artificial neural networks and supportvector machines methods of artificial intelligence were used in order to predict the production of cotton. Froma comprehensive data collection spanning 73 farms in Diyarbakır, Turkey, the mean cotton production wasprevised at 559.19 kg da-1. There is four factors that picked as pivotal input into this model. As a result, theultimate artificial neural network model is able to foreshow cotton production, which is built on elements like:farm states (cotton area and irrigation periodicity), machinery usage and fertilizer consumption. At the end ofthe study, cotton yield was estimated with %84 accuracy.
dc.identifier.doi10.30910/turkjans.947978
dc.identifier.endpage1027
dc.identifier.issn2148-3647
dc.identifier.issue4
dc.identifier.startpage1018
dc.identifier.trdizinid489364
dc.identifier.urihttps://doi.org/10.30910/turkjans.947978
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/489364
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4762
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTürk Tarım ve Doğa Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği,Tarımsal Ekonomi ve Politika
dc.titleApplication of Artificial Intelligence Methods to Predict Cotton Production in Turkey
dc.typeArticle

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