Induction review reveals valuable insights
05 March 2018
An extensive review of feedlot induction processes in Australia has revealed opportunities to introduce automation technology at key points of the process to improve safety, efficiency, and reduce costs.
The Review of Opportunities for Feedlot Induction Automation project evaluated the potential of cost-effective automation in cattle feedlot induction and found there is a positive value proposition for lot feeders in applying more automated technology.
The MLA project, funded by grainfed levies in consultation with the Australian Lot Feeders’ Association (ALFA), was led by Dr Cheryl McCarthy from the University of Southern Queensland, along with colleagues Professor Peter Brett and Dr Matthew Tscharke.
It investigated processes at 16 feedlots within Australia through telephone surveys and on-site measurements and observations at seven feedlots.
Dr McCarthy said the review revealed some insightful metrics about feedlot induction processes.
“We observed the induction process at seven different large-scale feedlots for five days, and used cameras to conduct time motion analysis,” Dr McCarthy said.
“We found it took an average of four staff to induct 370 cattle a day, over a timeframe of five hours a day, four days a week.
“All surveyed feedlots had electronic RFID and weighscales at the induction crush. About 11% of all instances of induction processes had some automation features.
“The human operators were very fast – each person performed an average of four tasks per animal and it took an average of 23 seconds in total.
“We found that tasks associated with eartagging and cattle catching were the most time-consuming tasks for all seven feedlots.
“On average, the equivalent of one labour unit was waiting across the induction team for the time the animal was in the crush, and the cattle catch comprised 24% of the time to induct one animal.
“The results suggest that up to two labour units could be reallocated to other parts of the feedlot through automation of induction processes. Across the observed feedlots, 89% of induction tasks did not have automated features.”
Dr McCarthy said the telephone survey of lot feeders identified three main priority areas for the introduction of automation in the feedlot induction process.
“They included automated precision dosage of animal, better immobilisation of cattle for treatment, and further reduced contact between staff and animals,” Dr McCarthy said.
“In addition to observing and benchmarking current processes, we reviewed technology that’s commercially available now.
“We found the greatest advantage in automation technology would need investment in two important infrastructures. One is more animal calming measures with solutions that control animal vision in pens, smooth voluntary motion and avoiding intermittent motion.
“The other is a computer WI-FI intranet system integrating animal identification, database, interaction with smart tools and pens, automated decisions, real-time progress on tasks and feedback to the operator.
“These measures would empower advanced induction processes that are accurate, safe, efficient and able to adopt the benefit of new technology as it arises in the future.
“Financial justification for the addition of automation technology in feedlot induction can be modelled by contrasting the difference between a non-automated system and an automated system utilising smart tools assumed as commercially available products.
“Examples of smart tools are ultrasound scanners, some drenching guns, injectors and scales.
“Already, 50% of tools are approaching a stage of being able to link and integrate with the wider system, sharing and communicating data automatically.
“Taking account of financial savings of reduced labour, more efficient chemical application and reduced injury, and working from quotations and costs of equipment, the model demonstrates that the break-even point occurs well within a period of three years on the additional investment for automation.”
- Prototype development for sensor technologies to automate feedlot bunk management
- Review of opportunities for Feedlot Induction Automation
Join myMLA today
One username and password for key integrity and information Systems (LPA/NVD, NLIS, MSA & LDL).
A personalised online dashboard that provides news, weather, events and R&D tools relevant to you.
Customised market information and analysis.
Already registered for myMLA?