Design of a self-sustaining robot for the monitoring of carrot crop plants

Foodborne diseases are those that originate from the consumption of raw or spoiled food and this can affect the health of people who consume it, as it may contain viruses, parasites, bacteria and other diseases. In this project, the design of the system was carried out of an intelligent self-sustaining robot for the monitoring of carrot cultivation plants with the purpose of to analyze the images it captures in real time, through three cameras, in order to be able to identify possible plants infected by bacteria or parasites, so that they have finally been removed by the staff, in order not to infect the other plants, also for color recognition of the plant, a code was made in Python applying the use of the OpenCV artificial vision library, on the other hand, in order to stimulate the robot's trajectory, a module (GPS) was implemented, then the robot's route was made using the simulator CoppeliaSim where the trajectory distance that will go through the robot and the detection of lateral ranges so that the robot goes through the center and not present difficulties when performing a task.