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It is a geodataset comprising of constituent regional grid cells, with each grid cell containing important regional geographical variables (e.g., climate, soil types, agricultural suitability), as well as the energy crop allocated to a particular grid cell by the crop allocation model implemented.
crop allocation modelling.
Field patterns, crop allocation and agricultural practices were derived from existing datasets and complementary field surveys.
SDTs provide an integrated way to analyze and simulate crop allocation processes within a single integrated framework.
Therefore, alternative approaches have been developed to deal with the issue of crop allocation [33]; here, we refer to them as CRAMod approaches.
Crop Allocation Modelling (CRAMod) to generate the potential biomass availability or regional distribution of energy crops which can theoretically be used by regional bioenergy systems.
Similar(39)
Their choices of crop allocations alter the observed temporal heterogeneity and spatial pattern of cropped landscapes.
Evaluating the environmental impacts of agricultural practices increasingly involves the use of spatially distributed simulation models that account for crop allocations across fields as an input factor.
This paper examines a scenario-based approach for rapid generation and screening of crop allocations that meet user's constraints without requiring mechanistic modelling.
(1) CRAMod-crop allocation modelling.
Crop sequences in a rotation can be quantified as a transition matrix, with the Markovian property that the allocation in a given year depends on the crop allocated in the previous year.
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