A lot of data collected from the fields is not used by farmers and agronomists. As an example, almost any modern machinery has a GPS receiver which is capable of gathering elevation data, quite often accuracy is improved with Real-time kinematic (RTK).
Most of this data is not actively used, because it is quite a time consuming to extract, clean, and process this information to acquire real value out of it. One of the GeoPard main idea is to decrease the complexity of data usage in Precision Agriculture.
GeoPard is capable of automatically extracting high-accuracy elevation data from:
- Yield datasets
- EC/other sensors datasets
GeoPard utilized the best available topography dataset for every field, but, unfortunately, high-accuracy lidar data is not available for every location in the world. Therefore, a machinery data-based digital elevation model will be a perfect option and significantly improves knowledge about the field.
Henceforth, as any data layer in GeoPard, you can create zones out of machinery elevation data with Zones Creator, use this data in the Zones Ops module (finding of overlappings among different datasets) and use it in multi-layer analytics.
Note that it is also possible to compare remote sensing based VS machinery/RTK based topography models.
GeoPard Agriculture
Topography
