Can the grains industry be revolutionised with robotics?
Author: Sarah Jeffrey | Date: 13 Feb 2018
A leading robotics researcher has highlighted the enormous potential for current robotic technologies to revolutionise grain farming productivity by reducing input costs and aiding decision making.
Mark Calleija from the Australian Centre for Field Robotics (ACFR) was a keynote speaker at today’s Grains Research and Development Corporation (GRDC) Grains Research Update in Wagga Wagga.
He shared some of the cutting edge technologies ACFR is developing in the space of the vegetable, tree crop and livestock industries and explained how these tools could be adapted for grains.
The ACFR is one of the largest field institutes in the world and develops innovative robotics and intelligent software for agricultural and environmental applications.
Mr Calleija said the ACFR’s experience in many aspects of agriculture has the potential to be adapted to the grains industry.
“Our systems are used to reduce farm input costs such as labour and fertiliser, and aid decision making that enables farmers to increase productivity,” he said.
“While we are yet to develop a prototype that is grains industry specific, the ground work has been done and it is unlikely to take a lot of redesign to create a robot with a grains application, such as tweaking the target weeds.
“There is enormous potential in the tools already available in the prototypes we have developed for other crop types, with functions such as automated crop mapping, weed and pest control.”
The ‘Ladybird’ and ‘RIPPA’ prototype robots collect data for use in vegetable crop mapping, estimation of crop quality metrics, yield estimation and predicted optimum harvest time.
“Ladybird has numerous sensing systems, including hyperspectral, thermal infrared, panoramic vision, stereo vision with strobe, LIDAR and global positioning. These sensors allow many aspects of the crop to be measured and assessed,” Mr Calleija said.
“Using RIPPA, farm input costs such as labour and fertiliser can be reduced through crop interaction mechanisms. Systems have been developed for autonomous real time weeding and spraying of weeds, crops or pests.
“It has the ability to use camera imagery and deep learning detection algorithms to identify weeds and use a steel tine to disrupt the weeds, amongst many other functions.
“Decision making tools that can be developed using the data that RIPPA collects could be used to increase the marketable yield of crops.”
In the grazing industry, the ‘SwagBot’ concept was developed as a multi-purpose robot capable of a range of farm surveillance and physical tasks.
“SwagBot is an all-terrain cattle farming robot and we have successfully demonstrated its ability to navigate farm obstacles such as hilly terrain, water, mud and branches,” Mr Calleija said.
“It can autonomously navigate predefined farm routes, detect and spray weeds and collect soil samples at predefined locations.
“Soil samples collected by SwagBot could be sent away to a laboratory for analysis or analysed in-situ to build soil fertility maps for improved pastures.
“Spot spraying of weeds is a particularly labour-intensive task that is a high-priority candidate for automation, based on feedback from livestock producers.”
Mark Calleija, Australian Centre for Field Robotics
The University of Sydney
0413 588 311
Sarah Jeffrey, Cox Inall Communications
0418 152 859
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