Abstract: A method and system for determining a variable rate treatment for a farming machine to autonomously apply to identified plants in a field is disclosed. The system applies a canopy recognition model to images captured for each region in the field. The model identifies each plant in the region and the plant's canopy, and then determines canopy characteristics based on the pixels of the image representing the plants in the plant canopy. Control signals for a variable rate treatment are determined based on these canopy characteristics. The treatment mechanism of the farming machine is then actuated using these control signals to apply the determined variable rate treatment to the plant.

Abstract: A farming machine configured for identifying incorrectly configured plant identification models in farming machines is disclosed. The farming machine includes a control system configured to monitor the performance of a plant identification model to determine if it is appropriately configured for detecting plants in the field. To do so, the control system accesses images of plants in the field and applies a first plant identification model to the images to identify a probability plants in the images are a first class of plants. The control system applies a verification model to determine if plants in the field are the second class of plants (rather than the first) based on the determined probability. The farming machine applies a second plant identification model to the images to identify a second class of plants, and treats plants in the field identified as the second class of plant.