Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models?

Can Agrometeorological Indices of Adverse Weather Conditions Help to Improve Yield Prediction by Crop Models?

The impact of adverse weather conditions (AWCs) on crop production is random in both time and space and depends on factors such as severity, previous agrometeorological conditions, and plant vulnerability at a specific crop development stage. Any exclusion or improper treatment of any of these facto...

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Bibliographic Details
Main Authors: Branislava Lalić, Josef Eitzinger, Sabina Thaler, Višnjica Vučetić, Pavol Nejedlik, Henrik Eckersten, Goran Jaćimović, Emilija Nikolić-Djorić
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Atmosphere
Subjects:
adverse weather conditions
crop models
climate-yield correlations
yield prediction
yield simulations
Online Access:http://www.mdpi.com/2073-4433/5/4/1020

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