Harvesting Technologies News
Scientists at the University of Plymouth develop harvesting robots
Scientists at the University of Plymouth are developing ground-breaking technology which could assist fruit and vegetable growers with the challenges they face in harvesting crops.
To try and overcome increasing demand for home grown produce, coupled with concern about workforce shortages in the wake of Brexit researchers are working with producers in Cornwall to create robots which can work alongside existing workforces and ensure any gaps in productivity are filled.
The Automated Brassica harvesting in Cornwall (ABC) project is being led by Lecturer in Robotics Dr Martin Stoelen, with key agricultural expertise provided by Professor of Plant Physiology Mick Fuller. It also involves strategic partner Teagle Machinery Ltd in Truro, and partners Riviera Produce in Hayle and CNC Design Ltd in St Columb Major.
It has secured funding from Agri-Tech Cornwall, a three-year, £10million initiative part-funded by the European Regional Development Fund, with match-funding from Cornwall Council.
Dr Stoelen has previously developed technology that can harvest tomatoes, raspberries and sugar snap peas, and is now refocusing that to assist with the picking of cauliflower, broccoli, kale and cabbage, which are extensively grown in Cornwall.
Dr Martin Stoelen said, “Manual harvesting represents a large portion of producers’ total costs, often it can be up to 50 per cent, so looking at addressing that – especially against a backdrop of Brexit – is very important. We’d like to prove that robotic technology that can work in rural environments is not only possible, but affordable, viable and can help increase productivity on farms. There will always be jobs for people associated with agriculture – but it might be that in a decade’s time, instead of spending hours in the cab of a tractor, your role is managing and maintaining robots such as these.”
At the heart of his vision is the concept of ‘variable stiffness’ because while most robot arms are rigid, the ability to flex and bend is vital in a more variable environment.
To counter that, Dr Stoelen will build on one of his previous projects – the GummiArm – which has two arms and, in many ways, it moves more like a human than a machine.
Another of the challenges is how to enable the robot to identify the cauliflowers that are ready for harvest and to distinguish the precise part to be taken.
The solution to that is likely to come through cameras and sensors in its 'hands' that can make real-time 3D models of the crop by assessing the information it assimilates, allowing it to recognise what to collect and what to leave.
With such robots recording images and touch-data from all over a field in real time, they also bring the possibility of gathering information that could be a variety of ways, potentially extending their application to beyond harvest.
Source : https://www.plymouth.ac.uk/