Parameter estimation and uncertainty analysis of a large-scale crop model for paddy rice: Application of a Bayesian approach

By T. Iizumi, M. Yokozawa, Motoki Nishimori. 2009

190 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, General Agricultural and Biological Sciences, Plant Science

View Paper: https://www.semanticscholar.org/paper/ca0817ea5e068f2afc411bea1eb18994b336f173

How researchers see this paper

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

In Ecology, Evolution, Behavior and Systematics

1. Julian Ramirez-Villegas
2. Andrew J. Challinor
3. A. Koehler

In General Agricultural and Biological Sciences

1. Julian Ramirez-Villegas
2. Andrew J. Challinor
3. A. Koehler

In Plant Science

1. Julian Ramirez-Villegas
2. Andrew J. Challinor
3. A. Koehler

Citations in the corpus

• Assessing uncertainty and complexity in regional-scale crop model simulations (2017, methodology): “However, at the regional scale, the only available data is often crop yield (but see Iizumi et al. 2009), which would preclude the assessment of individual (e.g. leaf area, soil water dynamics) crop model components.”
• Estimating near future regional corn yields by integrating multi-source observations into a crop growth model (2013, background): “Moreover, the use of crop models is also limited by uncertainties in the parameters or input data (Fang et al., 2008; Lizumi et al., 2009; Niu et al., 2009; Ceglar et al., 2011; Challinor et al., 2012).”