2014
DOI: 10.1111/aab.12132
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Predicting walnut (Juglans spp.) crop yield using meteorological and airborne pollen data

Abstract: Crop yield determines economy by influencing prices on the trade market, and so accurate forecasts of the yield are important for planning various aspects of agricultural production. The main aim of this study is to construct a model for predicting walnut yield in an important walnut production area (the region of Novi Sad in Northern Serbia). Relationships between the amount of walnuts produced annually (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) and abiotic (e.g. meteorological) … Show more

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Cited by 4 publications
(2 citation statements)
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“…The models were validated (tested) using 2 years of data not included in model construction. Following the method described by Prentović et al (2014), it was decided not to test the performance of the model using the two most recent years of data (i.e. 2011 and 2012).…”
Section: Model For Predicting Annual Variations In Ambrosia Pollen (Aap)mentioning
confidence: 99%
“…The models were validated (tested) using 2 years of data not included in model construction. Following the method described by Prentović et al (2014), it was decided not to test the performance of the model using the two most recent years of data (i.e. 2011 and 2012).…”
Section: Model For Predicting Annual Variations In Ambrosia Pollen (Aap)mentioning
confidence: 99%
“…The production of nuts depends mainly on climatic conditions, particularly during pollination, and a sufficient amount of pollen in the environment plays a crucial role in this process ( Prentović et al., 2014 ).…”
Section: Introductionmentioning
confidence: 99%