Robotic Toxicodendron weeding
Abstract:
A system includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to acquire phytomorphological field data via a sensor component of a mobile robot, generate, based on the phytomorphological field data and via a machine learning agent, a predicted likelihood of whether a hypothetical action by the mobile robot against a found plant would be directed against a true Toxicodendron plant, conduct a non-phytomorphological assessment of the found plant via the mobile robot and based on the predicted likelihood being below a first threshold and above a second threshold, and, via the mobile robot and based on the non-phytomorphological assessment, attack the found plant, mark a site of the found plant, and/or document a context of the site.
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