Autonomous agriculture platform

A method for determining an action plan for operating a vehicle that includes a drive unit and an implement attached to the drive unit for performing agricultural operations at a site, the method comprising:

• receiving image data and positional data of the site;
• generating an image of the site based on the image data and the positional data;
• detecting, using a trained machine learning model, one or more objects included in the image of the site;
• determining the action plan, including one or more commands for operating the vehicle, wherein the action plan is determined based, at least in part, on the one or more objects detected;
• and
• communicating the one or more commands to the vehicle to cause an operation of the vehicle in accordance with the one or more commands.

A platform comprising:

• a vehicle including a drive unit and an implement attached to the drive unit for performing agricultural operations at a site;
• and
• a computing device in communication with the vehicle, the computing device comprising at least one memory storing instructions, and at least one processor coupled to the at least one memory and configured to execute the instructions to perform computing operations, the computing operations comprising:
• receiving image data and positional data of the site;
• generating an image of the site based on the image data and the positional data;
• detecting, using a trained machine learning model, one or more objects included in the image of the site;
• determining an action plan including one or more commands for operating the vehicle, the action plan determined based, at least in part, on the one or more objects detected;
• and
• communicating the one or more commands to the vehicle to cause an operation of the vehicle in accordance with the one or more commands.

A computing device in communication with a vehicle including a drive unit and an implement for performing agricultural operations at a site, the computing device comprising:

• at least one memory storing instructions;
• and
• at least one processor coupled to the at least one memory and configured to execute the instructions to perform computing operations, the computing operations comprising:
• receiving image data and positional data of the site;
• generating an image of the site based on the image data and the positional data;
• detecting, using a trained machine learning model, one or more objects included in the image of the site;
• determining an action plan including one or more commands for operating the vehicle, the action plan determined based, at least in part, on the one or more objects detected;
• and
• communicating the one or more commands to the vehicle to cause an operation of the vehicle in accordance with the one or more commands.