Zeytin Verim Tahmininde Kullanılan Sayısal Modellere İlişkin Bir Literatür Araştırması
Makaleler > Tam Makale · 2021
Yazarlar: İnanç KABASAKAL, Murat Özaltaş
European Journal of Science and Technology, Diğer Kurumların Hakemli Dergileri, Uluslararası, TR Dizin (Ulakbim), 2021, cilt 24, ss 351-358
Özet
Yield forecasting is a task that provides critical inputs for producers and other stakeholders in agricultural marketing.Various methods have been applied to forecast olive yield in prior studies that primarily analyze datasets involving meteorological and phenological measurements.Our study reviews the prior literature on olive yield forecasting and explores the prominent methods employed in this context.Accordingly, we categorize prior models into two broad groups: pollen index forecasting and olive yield forecasting models.Moreover, our study highlights the popular methods and attributes involved in previous research, and reports the initial findings of the ongoing olive-yield forecasting project held in İzmir, Turkey.Finally, a discussion is presented regarding the techniques utilized and the attributes analyzed in forecasting models.