Robotic toxicodendron weeding

A system, comprising:

• a memory having instructions therein;
• and
• at least one processor in communication with the memory, wherein 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
• take at least one actual action selected from the group consisting of an attack on the found plant, a marking of a site of the found plant, and a documenting of a context of the site,
• wherein the action is taken via the mobile robot and based on the non-phytomorphological assessment.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by at least one processor to cause the at least one processor to:

• acquire phytomorphological field data via a sensor component of a mobile robot;
• generate, via a machine learning agent and based on the phytomorphological field data, a predicted likelihood of whether a hypothetical action by the mobile robot against a found plant would be directed against a true Toxicodendron plant;
• use the mobile robot to conduct a non-phytomorphological assessment of the found plant based on the predicted likelihood being below a first threshold and above a second threshold;
• and
• take at least one actual action selected from the group consisting of an attack on the found plant, a marking of a site of the found plant, and a documenting of a context of the site,
• wherein the action is taken based on the non-phytomorphological assessment and via the mobile robot.