Prescription Maps are spatially-based agricultural management tools which is useful for applying inputs such as seed, fertilizer, or chemicals at different rates across a field/farm, rather than applying a uniform rate everywhere. This approach is part of DataFarming, aimed at optimizing input usage, improving crop yield, and reducing costs.
These maps are generated using the ‘Prescription Maps’ tool, which analyses field variability through various layers such as satellite imagery like NDVI, EM etc. The resulting zone-specific maps indicate how much input should be applied in each area of the field based on factors such as crop productivity, soil type, or past yield performance.
By applying the right amount of input to the right place, you can manage variability within your fields more effectively, leading to more efficient farming operations.
Variable Rate Application (VRA) map helps to manage field variability for more precise input application. With creating prescription maps:
You can optimize your use of fertilizer, seed, and chemicals by applying the right rates in the right areas.
You can reduce input costs by avoiding over-application in low-performing zones.
You’ll increase your yield potential by giving high-performing zones exactly what they need.
It can help protect the environment by minimizing nutrient runoff and chemical overuse.
You’ll be able to better understand your field and identify variability within it.
You can use VRA maps throughout all growth stages of your crop to apply the right inputs at the right time.
Before planting – to apply seed at variable rates based on soil type or with use of STACK Tool by understanding long term performance.
Before or during fertilizing – to apply nutrients like nitrogen, phosphorus, or potassium according to crop needs in each zone.
During crop growth stages – to apply in-season inputs (like top-dress nitrogen or foliar sprays) based on different vegetation indices imagery.
After yield mapping – to analyse performance and adjust future input strategies.
When soil or NDVI data shows variability – ideal when satellite imagery, soil tests, EM mapping data reveal differences across the paddock.
When trying to reduce input costs – especially in seasons with tight budgets or high fertilizer prices.
You can create zone any time you want to improve input efficiency and to make more informed, zone-specific decisions.