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Improved Perception and Navigation for Automated Harvesting using Imaging Sensors
The primary objective of the project is to develop a comprehensive system that enables spatial and color measurements of agricultural fields using imaging sensors. By integrating the data acquired from onboard imaging sensors with GPS/INS sensors, the aim is to enhance the navigation capabilities of harvesting machines. This integration allows for efficient and precise navigation, which in turn contributes to improved harvesting practices. The ultimate goal is to maximize crop yield by leveraging the valuable information obtained through these sensor fusion techniques.
Faculty Supervisor:
Mehran Mehrandezh;Abdul Bais;Denise Stilling
Student:
Partner:
MacDon Industries Ltd.
Discipline:
Engineering
Sector:
Manufacturing
University:
University of Regina
Program:
Accelerate
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