Bayesian inference of spatially correlated random parameters for on-farm experiment
Accounting for spatial variability is crucial while estimating treatment effects in large on-farm trials. It allows to determine the optimal treatment for every part of a paddock, resulting in a management strategy that improves sustainability and profitability of the farm. We specify a model with s...
| Main Authors: | Zhanglong, Cao, Stefanova, Katia, Gibberd, Mark, Rakshit, Suman |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/87925 |
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