The Department for Environment, Food and Rural Affairs has opened a £20 million competition for agricultural robots and automated systems, with applicants required to show how their technology will improve productivity, sustainability, and resilience on farms in England.

The second Automation and Robotics round of the Farming Futures research and development fund will support collaborative projects costing between £500,000 and £2.5 million. Applications close on 30 September, with successful programmes expected to run for between 12 and 36 months from March 2027.

UK-registered businesses must lead each consortium and work with at least one other eligible organisation. Farmers, growers, foresters, universities, research organisations, charities, public bodies, and other companies may participate, while funded work must be carried out predominantly in the UK and intended for domestic exploitation.

The scope reaches beyond autonomous field vehicles. Applicants may propose mobile or static robots, imaging and monitoring systems, intelligent machinery, on-farm storage technology, energy-management systems, and immediate post-harvest automation for preparation, packing, and supply chains.

The programme widens its agricultural scope

Unlike the previous automation round in 2023, the new competition includes livestock applications, ornamental plant propagation, tree nurseries, forestry planting, and woodland monitoring. The broader remit acknowledges that labour, monitoring, and resource-efficiency problems extend across agricultural production rather than belonging solely to fruit and vegetable harvesting.

Defra has highlighted Fieldwork Robotics, which is developing a raspberry-picking machine, and Roboscientific’s DETECT project, which uses breath analysis to identify signs of respiratory disease in cattle. Both illustrate how agricultural automation can range from mechanical handling to sensing systems that support earlier intervention.

Projects must address practical sector problems including labour dependence, crop and animal health, food quality, traceability, waste, resource use, welfare, and environmental performance. They must also include measurable sustainability outcomes and demonstrate that farmers or growers in England will benefit.

“Robotics and automation are becoming increasingly important tools to help farmers improve productivity and build more resilient businesses,” Chris Danks, head of agrifood at Innovate UK, said in the funding announcement.

The competition forms part of the Farming Innovation Programme, which is being delivered with Innovate UK. The government says £123 million is available for agricultural research and technology during the current year, within a pledge to invest at least £200 million in farming innovation by 2030.

Seasonal work creates difficult economics

Labour shortages provide an obvious reason to invest in agricultural machines, particularly where farms need large numbers of workers for short harvesting periods. Robots can extend operating hours, reduce dependence on seasonal recruitment, and perform repetitive work in conditions that are physically demanding for people.

Agricultural automation nevertheless faces operating conditions that are considerably less controlled than a factory. Crops vary in size and position, weather changes visibility and ground conditions, machinery must work safely around people and animals, and a system may have only a short annual window in which to earn its keep.

A robot used for several weeks of harvesting can be technically capable while remaining uneconomic for an individual farm. Commercial models may therefore depend on contractors, equipment sharing, leasing, or machines capable of performing several tasks across different seasons.

Maintenance and support will also affect adoption. A breakdown during harvest can destroy much of the value promised by automation, which means manufacturers need spare parts, trained technicians, remote diagnostics, and response times suited to agricultural operations rather than ordinary enterprise software.

The competition’s minimum project size of £500,000 encourages substantial collaborative development, while the upper limit of £2.5 million leaves room for field trials and engineering work beyond an early prototype. Industrial research grants can cover up to 70% of eligible costs for small organisations, falling to 60% for medium-sized businesses and 50% for large ones.

Data becomes part of the product

Many eligible systems combine physical automation with cameras, sensors, positioning technology, and machine-learning models. A field robot may therefore produce information about soil, crop condition, pests, yields, or animal health while carrying out its primary task.

That information can support more precise use of water, fertiliser, pesticides, energy, and labour, although it also creates questions about data ownership and supplier dependence. Farms adopting connected equipment need to know whether they can export operational data, move to another service provider, and continue using machinery when a software subscription ends.

Connectivity remains uneven in rural areas, so systems must also be designed for conditions where cloud access is intermittent. Machines performing safety-sensitive work cannot stop making decisions whenever a mobile connection fails, while locally processed data may still need to synchronise later with farm-management platforms.

Automated equipment can improve traceability by recording where and when an action took place, but those records need consistent formats if they are to move across machinery, assurance schemes, processors, retailers, and government services. Otherwise, farms may accumulate another collection of incompatible data silos attached to expensive equipment.

Grant success is not commercial adoption

Public funding can absorb some of the technical risk involved in developing machines for a fragmented market with demanding physical conditions. It can also bring farmers into the design process before engineering decisions become difficult to change.

The competition will fund projects rather than purchases by farms, and successful research does not guarantee a viable product. Applicants must establish manufacturing costs, insurance, safety compliance, training, maintenance, and a route to market alongside technical performance.

The requirement for collaboration should improve the connection between developers and agricultural practice, provided farmers are involved in defining the problem rather than used primarily as trial locations. Technologies that remove a genuine bottleneck are more likely to survive after grant support ends than machines built around an impressive capability without a workable operating model.

Applications close in September, and awards remain subject to the number and quality of submissions. The strongest projects will be those that show not only that a robot performs a task, but that farms can afford, maintain, integrate, and use it reliably during the narrow periods when agricultural work cannot wait.