Seminar: Asher Bender, 4th June, 1p

When: Thurs 4th of June, 1p

Where: This seminar will be presented online, RSVP here.

Speaker: Dr Asher Bender

Title: Intelligent Robotic Non-Chemical Weeding

Abstract: In this seminar I will present results from an industry research project with the Grains Research and Development Corporation: Intelligent Robotic Non-Chemical Weeding. Weeds compete with crop for nutrients, water and sun light. Controlling weeds and lost revenue is estimated to cost grain growers $3.3 billion a year. Early reliance on herbicides as a complete weed control solution has made contemporary weed management a challenge due to the increasing prevalence of herbicide resistant weeds. An emerging tool in weed management and precision agriculture is site-specific weed management. In site-specific weed management, individual weeds are detected and targeted by a control method. Since this task cannot be solved with a purely mechanical system, it is only feasible at a small scale and requires a large amount of human labour. Robotic systems combined with computer vision and machine learning hold the potential to change the scalability and labour costs of site-specific weed management. Currently commercial robotic site-specific weed management is limited to fallow land where infra-red reflectance can be used to perform ‘green-on-brown’ detection. In this research project, the goal is to extend autonomous weeding capabilities to ‘green-on-green’ detection – that is, detecting weeds amongst crop.  

Bio: Dr Asher Bender is a post-doctoral researcher at the Australian Centre for Field Robotics. His research interest is in applying machine learning to solve high-level problems using data collected by autonomous systems. He has worked in marine robotics, intelligent transportation and is currently doing research in agricultural robotics.

Contacts

Sydney Institute for Robotics and Intelligent Systems
info@acfr.usyd.edu.au