Self farming Autonomous Robot

Hello
I now doing a fyp regarding autonomous self driving robot for agriculture. My main concern is navigation. For crop bed and obstacle handling algorithm, i already design it but it only if the robot has reach the cropland. So how does it navigate to cropland and have a right angle to start the algorithm that rotate each bed and does it work(such as spray pesticide). I have buy some component that help for navigation after doing couple of research such as Neo 7m pps gps module and mpu 9250 module. Okay, I understand how to make the robot navigate to the desired point, but how to make it reach the desired point accurately and the angle it face is right and good for starting the cropland algorithm?
Please help me I already do couple of arduino project but for moving arduino project this is my first time

For land based GPS navigation you need the precision provided by differential GPS which is too expensive for a student project.

Regular GPS is only going to give 5 meters accuracy so navigating through gates to a particular field and staying within the field boundaries will be impossible.

Perhaps use the buried wire system that robot lawn mowers use. Cheaper than differential GPS but the cost is still going to be way above that of a normal student project. For demonstration purposes you could just leave the wire on the surface and have the robot drive over the top sensing the wire underneath.

If the accuracy around 1m? Is it applicable. As in the neo7m gps module documentation it has accuracy 0.6m

That level of accuracy is only achieved by having the robot stand still for several hours so you can take the average of several hundred readings.

A moving robot only knows its current position to within 5m.

Essentially your project goal of creating a "farming robot" can be achieved by create a clone of "lawn mower robot". It's the same thing.

Check out the AgOpenGPS forums. There are a few autonomous tractor projects rolling around. For GPS they usually use a ZED-F9P but they are rather expensive, some tests have been done with the UM982 which is much cheaper and works just as well and there is also a um626 I believe but it performed slightly worse.

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