UBC AgroBot
2360 East Mall V6T 1Z3 Vancouver, BC, Canada

Last week, UBC AgroBot did a wonderful interview with the Gormley Show, a radio talk show airing across Saskatchewan, to introduce our project. Listen to it now online! https://iono.fm/e/941255

UBC AgroBot will be doing an interview with Gormley Live, a radio talk show airing across Saskatchewan on 650 CKOM and 980 CJME at 11 AM (Pacific Time). We are thankful to Farm Credit Canada and the John Gormley Live radio talk show for this wonderful opportunity. Be sure to tune in! https://www.ckom.com/

Find our Imagine Day booth today on ams Campus Base (https://amscampusbase.ubc.ca/groups) by directly searching our name in "Explore the Clubs" or by clicking ("Main Event" -> "Map View" -> "Career and Experience" -> "UBC AgroBot"). Talk to us at our Zoom meeting from 2 - 6 PM: ** Intro presentation ( 2:05 PM, 3:05 PM, 4:05 PM, 5:05 PM) and general Q&A (ongoing) in the main room... ** Directly chat with our members from different sub-teams in breakout rooms (message the host the sub-team you're interested in to get into the rooms)

** Navigation Sub-team Recruitment ** UBC Agrobot’s Navigation sub-team develops the self-driving software for the Agrobot to autonomously navigate crop rows using an on-board camera. In our first year, our team explored methods of crop-row detection and developed software to facilitate real-time motion planning. We have worked together to research different methods of computer vision and error control algorithms and applied these concepts to Python code using OpenCV. The sof...tware loads live-stream video employs a series of filtering and transformations to detect crop-rows and then applies a centering algorithm to determine the direction of the AgroBot. In our upcoming year, our team plans to improve the accuracy of our navigation software while also integrating the software with the motor control system. This entails incorporating additional computer vision techniques to our code, implementing a robust software controller for continuous error adjustment, and incorporating ROS for communication between subsystems. The Navigation team is looking for members interested in software design, real-time computer vision, robotics, and embedded systems to develop Agrobot’s self-drive technology! Application Link: https://ubc.ca1.qualtrics.com/jfe/form/SV_bdssmMC0Ve8dZuB

** Image Recognition Sub-team Recruitment ** The UBC AgroBot Image Recognition team develops a system capable of classifying and localizing different crops and weeds. Last year, one of our focuses was setting up our training and inferencing infrastructure. We trained our network using data from existing databases to recognize wheat and used stereovision to determine the real-world location of the identified crop. This resulted in an efficient embedded system capable of fast o...bject detection. In the upcoming year, we will be focusing on applying different strategies for data collection to make our models more robust and accurate. We will be exploring different neural network architectures and validating their performance. We will also be developing models for characterizing crop health. The Image Recognition team is looking for members interested in deep learning, computer vision, software design, embedded systems, and robotics. Application Link: https://ubc.ca1.qualtrics.com/jfe/form/SV_bdssmMC0Ve8dZuB