Farming is one of the UK’s most dangerous industries to work in; despite making up just 1% of workers, farmers and their employees accounting for as many as 20% of all workplace fatalities.
To raise awareness of farm safety and educate farm workers about how to protect themselves and others on farm, and prevent avoidable deaths on the UK’s 220,000 farms, NFU Mutual established the Farm Safety Foundation in 2014.
Providing farm safety training to over 11,000 young farmers across 44 land-based colleges and universities in the UK, the Farm Safety Week also runs various awareness-raising campaigns such as Mind Your Head, focusing on farmer’s mental health and wellbeing, and Farm Safety Week.
To mark this year’s Farm Safety Week, Agri-EPI Centre spotlighted a wide range of our network members whose innovations in agri-tech improve the safety of farm work and staff. In case you missed Farm Safety Week on social media, you can catch up on the incredible work of the agri-tech companies highlighted here.
Muddy Machines and Earth Rover
Working on farms and with machinery poses a risk of injury to even the most experienced farm workers; when temporary staff are employed on-farm, often with minimal training and little knowledge of the dangers of farm work, there is a far higher risk of serious incidents.
Robotics developers Muddy Machines and Earth Rover field robots are designed to plug the labour gap facing many farmers by automating tasks for fruit picking to crop monitoring, whilst also preventing the need for inexperienced farm workers to be employed on-farm.
While Muddy Machines’ work focus on conducting fieldwork for labour-intensive crops and Earth Rover’s Pointer, Retriever and Terrier bots help farmers reduce their reliance on chemical sprays, the farm safety element of AI and robotics in agriculture is an additional benefit.
Machine Eye makes workplaces and agricultural and industrial plant safer by giving the machines “sight”. The machines are able to use deep-learning AI and computer vision to continually assess risk in real time and identify any humans who might be at risk by predicting their movement and motion and reacting accordingly.
When an unsafe interaction is detected, Machine Eye is able to raise an alarm or take action to reduce the risk safely and efficiently.
Next Gen Agri Lone Worker Management
Working alone naturally carries risk as there is no one to help raise the alarm in the event of an accident, but can be particularly dangerous in the agricultural sector due to inclement weather, heavy machinery and remote, rural locations. It’s essential lone workers have procedures in place to ensure their safety; that’s why NextGenAgri established their Lone Worker Solution.
NextGenAgri Agricultural Lone Worker solutions ensure every worker and contractor ensuring can be tracked -and kept safe – whilst working alone, giving employees, operators and management peace of mind.
The solution works around four steps: Alert, Escalate, Report and Manage. Across agriculture, construction, engineering and other sectors, NextGenAgri’s work formalises communication, monitoring and connection to 24/7 support centres to keep lone workers safe.
Storage such as grain silos and pits pose a significant risk of drowning or crushing to workers undertaking maintenance, cleaning or even simple monitoring tasks. From assessing toxic gas levels to assembling the team and equipment required to safely check on grain storage can be time consuming and costly.
The Crover bot is able to “swim” through grain and check every corner of grain bulk using moisture and temperature sensors, meaning only the robot needs to directly access the grain and keeping workers safe. The Crover bot can also provide more accurate grain data for farmers, enabling them to make better-informed decision and prevent grain spoiling.
To find out more about the Farm Safety Foundation and Farm Safety Week, visit the NFU Mutual website. You can see more of the Agri-EPI Centre members on our network page, or explore our work with innovative agri-tech companies on our project pages.