SYSTEMS AND METHODS FOR AUTONOMOUS PLANT TARGETING USING CROP PROXIMITY

Fuente: WIPO "tomato"
In some variations, a method for autonomous object (e.g., plant) targeting based on proximity to a desired object includes receiving an image of a field, characterizing one or more objects of interest in the image using a pre-trained machine learning model, selecting a first object of the one or more objects of interest, generating a targetable region of the field relative to a location of the first object, and selectively targeting one or more objects of interest for damage based at least in part on their locations being inside the targetable region. The targeted object(s) of interest may, for example, be targeted with an implement such as a laser to damage the targeted object(s) of interest.