Ag Tech News
Kingston University to explore 5G technology for farmers
New research into how cutting-edge 5G technology could pave the way for a new era of ‘smart' farming that would allow intelligent drones to monitor crops and livestock is being carried out by Kingston University experts.
The work, which involves several other organisations, is part of a £2.1m government-funded project called the 5G Rural Integrated Testbed (5GRIT). The nine-partner initiative is trialling innovative uses of 5G - the fifth generation of mobile communications technologies - across a range of rural applications, from agriculture to tourism as well as connecting poorly-served communities.
A total of £25m has been awarded to six 5G projects across the UK as part of the government's Digital Strategy, which aims to keep Britain at the forefront of connectivity through driving forward innovations and opportunities over the coming years with 5G.
Professor Paolo Remagnino and associate professor Dr Vasileios Argyriou, from Kingston University's Robot Vision team (RoViT) in the Faculty of Science, Engineering and Computing, will be exploring how drones could harness this technology to carry out real time video monitoring and surveillance on farms - opening up new opportunities for increasing efficiency and productivity in the agricultural industry.
There would be a number of benefits to employing intelligent drones for this work, particularly on large-scale farms, Professor Remagnino said. "Normally when you're talking about 5G you think about its use in video streaming to portable devices such as phones and tablets, but there are so many other possible applications," he said.
"We're looking at providing a new method for monitoring livestock, grazing land and crops that would give farmers an eye in the sky over their fields. It would involve using drones with on-board visual and infrared cameras, supported by a computer vision system allowing them to detect when an animal is sick, trapped, injured or missing and also to monitor, count and control crops and spot signs of disease or weeds."
During the project, the RoViT team will employ a computer vision system that uses 5G enabled technology to provide a real time assessment of the visual data, using a form of machine learning called deep learning. This uses artificial neural networks to mimic the way the brain makes connections between pieces of information without being specifically programmed, and would allow the drones to learn normal behaviour and appearance of livestock and crops and identify irregularities.
The 5GRIT project is led by internet connectivity firm Quickline Communications and partners include Kings College London and Lancaster University. Its overall aim is to ultimately make high-quality connectivity available to rural areas across the country, creating better connections for residents, businesses, farmers and visitors.