Crop nutrition is a fundamental aspect. Define the optimum rate of Nitrogen by finding the good balance between maximising the yield, optimising the ROI, and avoiding Nitrogen losses in the soil profile.
The challenge is that the needs in Nitrogen are influenced by various parameters (soil potential, yield potential, variety, precipitations, market price etc) and cannot be generalised.
Research institutes such as CSIRO, have been carrying trial for a number of years to increase our knowledge of Nutrition and better understand the influence of these parameters.
The crop models that have been build as results of this research are the solution to bring this technicity and precision to the field by taking into account every parameter.
What makes FluroSense an agronomics analytics platform rather than just another remote sensing solution is in the way it includes data satellite data, agronomic inputs, economic settings and agronomic models while making it easy to use for an agronomist
In this case study NRx was run for the 2019 season for 15 Landmark fields. The recommended nitrogen rates were compared against fertilisation operations data provided by the agronomist.
The nitrogen recommendation is now calculated and estimated on each zone of the field in order the increase the rates of Nitrogen of high potential areas.