Modeling and mapping potential epidemics of rice diseases globally

By S. Savary, Andrew Nelson, L. Willocquet, I. Pangga, J. Aunario. 2012

96 citations recorded by the source corpus.

Subfields: Plant Science

View Paper: https://www.semanticscholar.org/paper/ae99aa7a28dfc598e95094dccd04330d542fc1ff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Plant Science

1. Adam H. Sparks

Citations in the corpus

• nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R (2018, methodology): “The data are widely used in agricultural modelling for modelling crop yields (Bai et al., 2010; van Wart, Grassini, & Cassman, 2013; van Wart et al., 2015), other crop simulation exercises (Ojeda, Volenec, Brouder, Caviglia, & Agnusdei, 2017), plant disease modelling (Savary et al., 2012).”