Integrating APSIM model with machine learning to predict wheat yield spatial distribution
December, 2022
Global
Traditional simulation models are often point based; thus, more research is needed to emphasize spatial simulation, providing decision-makers with fast recommendations. Combining machine learning algorithms with spatial process-based models could be considered an appropriate solution. We created a spatial model in R (APSIMx_R) to generate fine-resolution data from coarse-resolution data, which is typically available at the regional level.
To invest responsibly in land, it is important to recognize and respect the land rights of local communities and avoid social and environmental harm.
