Farmbox – eFarmer’s own GPS Guidance. In development
First steps to our own GPS Guidance system
We are glad to announce that eFarmer has completed the design of its Farmbox hardware. As a result of many months of hard work at our design centre in Noordwijk, the Netherlands aimed at finding the very best architectural solution for the product, and thanks to our use of the most advanced electronic components, we have achieved a pass-to-pass accuracy of 0,8 m.
0,8 m accuracy? Not enough!
This of course is a remarkable result (on standard GPS trackers it is 2.5 m or more), but for most operations an accuracy of less than 0.5 m is needed. In the middle of last year the eFarmer team started design work on an algorithm to improve the accuracy of GPS coordinates. To assist, we invited consultants from the worlds of mathematical modeling and navigation system design.
Mathematical Algorithm and sensors – is the answer
Don’t forget that our designs are based exclusively on the principle of free GNSS services. We now have a mathematical model of an algorithm that will provide more accurate coordinates for all means of transport. For this we use data from the inertial navigation system (IMU) built in to our product (accelerometer, gyroscope, magnetometer). In the diagram below you can see a graphic notation of our mathematical model.
From 0,8 m to 0,2 m accuracy: mathematics – is a key to precision farming
The test results of our algorithm are shown below. We made two passes in a vehicle along a marked-out, straight line (one forward and one back). It can be seen in the diagram that the control unfiltered track (in small blue circles) wanders from left to right due to the low precision of its coordinates. The filtered track calculated using the new algorithm follows an almost perfect straight line (reflecting the actual pass made by the vehicle).
In conclusion we present below a graph showing the error deviation. As can be seen, the precision of the unfiltered track is about 0.8 m, and of the filtered track about 0.2 m. the team continues to improve the algorithm and has begun field tests – under realistic conditions.
GNSS architect in eFarmer