Computer Vision for Crop Weed Identification

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several sensors mounted on the robot. Other sensors of the robot, such as GPS, and wheel odometry, can be brought to bear as well.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Nexus Robotics

Discipline:

Computer science

Sector:

Agriculture

University:

Université de Montréal

Program:

Accelerate

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