Pages that link to "Item:Q2261034"
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The following pages link to Improving crop model inference through Bayesian melding with spatially varying parameters (Q2261034):
Displaying 12 items.
- Mathematical modeling for active and dynamic diagnosis of crop diseases based on Bayesian networks and incremental learning (Q462683) (← links)
- An improved canopy transpiration model and parameter uncertainty analysis by Bayesian approach (Q604162) (← links)
- Development and validation of a spatially explicit individual-based mixed crop growth model (Q886872) (← links)
- Bayes linear emulation of simulated crop yield (Q2088548) (← links)
- A Bayesian approach to crop model calibration under unknown error covariance (Q2259939) (← links)
- Semiparametric geographically weighted response curves with application to site-specific agriculture (Q2259951) (← links)
- Evaluation of experiments for estimation of dynamical crop model parameters (Q2426321) (← links)
- Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems (Q4591491) (← links)
- Exploring spatial dependence in area-level random effect model for disaggregate-level crop yield estimation (Q5128966) (← links)
- Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators (Q6069045) (← links)
- Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors (Q6107191) (← links)
- Assessing marine mammal abundance: a novel data fusion (Q6665495) (← links)
