Better prediction of Mediterranean olive production using pollen-based models

@article{Oteros2013BetterPO,
  title={Better prediction of Mediterranean olive production using pollen-based models},
  author={Jose Oteros and Fabio Orlandi and Herminia Garc{\'i}a-Mozo and F. Aguilera and Ali Ben Dhiab and Tommaso Bonofiglio and Mounir Abichou and Luis Ru{\'i}z-Valenzuela and Mar{\'i}a del Mar Trigo and Consuelo D{\'i}az de la Guardia and Eugenio Dom{\'i}nguez-Vilches and Monji Msallem and Marco Fornaciari and Carmen Gal{\'a}n},
  journal={Agronomy for Sustainable Development},
  year={2013},
  volume={34},
  pages={685-694}
}
Olive oil is a major economic resource of the Mediterranean region. Olive crop management can be improved by models that forecast the variable reproductive biology of olive tree. However, the processes controlling olive harvest are complex on large scales. Here, we study the parameters that influence olive fruit production for developing accurate forecasting models. Seventeen aerobiological sampling points have monitored olive pollen grains in Spain, Italy and Tunisia from 1993 to 2012. Six… Expand

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