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Our approach to Variable rate prescription mapping consists of building a solid foundation in which we utilise all available resources to most accurately devise the prescriptions needed for each individual input.



For soil driven prescription maps, we look at historic soil point data in combination with in-season NDVI/Biomass imagery and Yield data to depict how agronomic attribute of certain soil characteristics influence the visualised data in these resources and use this interpretation to define soil properties. Once these preliminary soil maps are completed, we then collaborate with growers to integrate their own knowledge of paddock properties to further refine these maps and establish the base map we then require for our particular target variable rate input.

Dependent on the adjustments and/or the objective and capabilities on farm, rate allocations can then be given to these zones or areas to build prescription maps most suited to the growers needs or understanding of paddock productivity or demands. From the preliminary soil map, VR prescription maps can be tailor made as per the examples below;

Preliminary Soil.png
Output examples.png


Multi-year analysis & production zoning looks at building the base layer required to build particular prescription maps that might be more reliant on yield targets or assessments of areas of continual productivity. A multi-year analysis can look at consolidating a pre-determined number of years worth of yield together to generate a production zone map that can then zone areas of continual High, Medium and Low productivity. With this zoning information, we can then build our prescription maps around particular objectives and input targets. The following process provides an example of how we might condense 3 years worth of cereal yield into a 3 zone production map with the analysis on these zones then prividing a look at the continual production averages for these zones

Production Zoning Example.png
P Map output.png
K Map Output.png


Based on the distinguished base layers, we can then proceed with building our variable rate input maps for the selected season based on objectives for that season. 

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