Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.

Abstract: A control system of a farming machine is configured to identify obstruction in a field from image data of the field. The control system accesses an obstruction model configured to identify obstructions in a field from image data of the field. The obstruction model is generated by accessing image data of obstructions in a training field, each obstruction corresponding to a prescribed action occurring at a prescribed time, labelling the image data of the obstructions, and training the obstruction model based on the labelled image data. The control system captures image data of the field including an obstruction and inputs the image data into the obstruction model. Responsive to identifying the obstruction in the field, the control system modifies treatment instructions of the farming machine such that the farming machine performs a implements a farming objective while avoiding the obstruction in the field.

Abstract: A system and a method are disclosed for planning a path within a field for a farming machine. The system predicts boundaries of the field using a previously captured image of the field and generates a suggested route to be taken by a data collection device based on the predicted boundaries. As the data collection device travels along the suggested route, the data collection device collects location data associated with a current layout of the field. The location data may be labeled with obstructions encountered along the way. Based on the location data, the system identifies current boundaries of the field, which may be different from the predicted boundaries. The current boundaries are sent to a verification device to be verified. After the current boundaries have been verified, the path for the farming machine is planned.