Abstract: A farming machine is configured to autonomously operate in a field to accomplish a farming objective. While doing so, the farming machine may capture image data that is processed to assess plant growth in the field. The farming machine can leverage the assessed plant growth to inform treatment plans or to dynamically modify treatment plans. Dynamically modifying treatment plans includes modifying, delaying, accelerating, adding, and/or removing farming actions in a treatment plan. The farming machine may also leverage the assessed plant growth to identify sources of issues. The farming machine is also configured to generate user interactable feedback, and receive user generated instruction, to dynamically modify treatment plans.

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.