A Review of Literature on the Quantitative Methods for Olive Yield Forecasting
Conference paper > Summary Text · 2021
Authors: İnanç KABASAKAL, MURAT ÖZALTAŞ
2nd International Conference On Access To Recent Advances In Engineering And Digitalization (ARACONF 2021), Türkiye, Kayseri, International, Verbal, Summary Text, 2021-2021, pp 156-156
Summary
<p>Forecasting of yield provides critical input for producers and stakeholders in agricultural marketing. Various methods have been applied to forecast olive yield in prior studies. The datasets analyzed for the problem primarily consist of 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. Finally, a discussion is presented regarding the attributes utilized in forecasting models.</p>