Application of Artificial Intelligence Methods to Predict Cotton Production in Turkey
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Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Farmers 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.
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Yazılım Mühendisliği,Tarımsal Ekonomi ve Politika
Kaynak
Türk Tarım ve Doğa Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
4
