- Objective
- To make more information available to remote-sensing systems using autonomous or semi-autonomous   robotic solutions.

- Specifically, provide higher-resolution shape and slope characteristics of terrain than currently offered.
- Strategy
- Intelligently collect changes in terrain using robotic technology.

ABSTRACT

A model was developed within a GIS environment using the transverse spread pattern and GPS driving track
during spreading to map actual fertilizer application at any point in a paddock. The spreading vehicle required a GPS of sufficient accuracy in order to provide proof of placement and guidance assistance to the driver. The method was used to assess the effect of field size and shape on actual application rate and application variation. At a target application rate of 80 kg ha−1, measured application rates ranged from 51.8 to 106.7 kg ha−1 of urea (46% N) fertilizer over 102 paddocks on four farms. Average field variation calculated over all paddocks was 37.9%. Irregular-shaped paddocks were found to have higher application variation (40.8%) compared to regular-shaped paddocks (35.9%). Hot spot analysis was performed to identify areas receiving statistically significant high and low application rates.