by Professor James Lowenberg-DeBoer and Elizabeth Creak, Chair of Agri-Tech Economics, Harper Adams University
Flexible robotic machinery, coupled with GPS and artificial intelligence (AI) are being used in multiple applications such as precision planting, harvesting and weed/disease notification and control. Autonomous vehicles and robotics use ‘service’ business models, as well as outright purchase or lease.
This section covers potential transformation of farming operations based on system such as controlled traffic farming, autonomous vehicles and robotics. A wider range of options, including smaller robotic systems, gantry equipment and novel fuel sources, is enabling radical farm vehicle re-design. Robust internet connectivity is a critical element to realise the maximum potential benefits of these technologies, many of which are data-driven and utilise artificial intelligence.
Controlled traffic farming, autonomous vehicles & robotics
Technology is transforming systems and energy use in food production. Conventional crop production systems were developed assuming an abundant and relatively affordable supply of energy dense fossil fuels for mobile power. The perceived scarce resource was human labour and attention. That led to practices where fossil fuels were used to substitute labour and time, for example, planting systems that require tillage and harvesting technology using mobile power for on-the-go threshing.
Limiting greenhouse gas emissions will require everyone, including agriculture, to use less energy and it may require using it in less energy dense forms. Energy from renewable sources, especially solar and wind, is becoming more available and affordable, but with current battery technology it is less energy dense, so less useful for the mobile power needed for crop equipment.
The comparison of energy density between batteries and fossil fuels depends on the fuel and type of battery used, but per kilogram diesel has many times more energy than the best batteries. Other energy alternatives, such as hydrogen, are more energy dense but have other challenges. This section explores how agri-tech solutions can reduce overall energy use in crop production, while simultaneously boosting crop production and improving environmental management.
Controlled Traffic Farming and Global Navigation Satellite Systems
Controlled Traffic Farming (CTF) is a well-established approach given a practical boost by access to reliable and affordable Global Navigation Satellite Systems (GNSS). CTF can operate equipment repeatedly on the same routes in the field. With random field traffic, up to 100% of the soil may be driven over in a year. With CTF, the portion of the field depends on equipment used, tyre width and operator skill, but with manual operation, it was commonly 30% to 40%.
Using GNSS, the area can be even lower – perhaps as low as 15%. Research indicates up to a 50% energy reduction with CTF, chiefly because equipment is always operating on a compacted pathway and not on loose soil, minimizing rolling resistance. Other factors contributing to energy savings are less draft force required in untrafficked areas, less need for deep tillage to break up compaction and improved efficiency with well-planned field routes. Research and decades of farm experience indicate that in general yields increase 9%-16% in un-trafficked soils, with even greater benefits in soils prone to compaction.
The discussion of autonomous crop equipment usually starts with the shortage of farm labour, but experience with autonomous technology suggests a wider range of practical benefits including energy saving, intensification of crop management, more timely field operations, plus much reduced soil compaction, greater precision and improved field biodiversity.
Reducing farm equipment size
Once human drivers are removed, the incentive for larger equipment almost disappears. Machines can therefore be smaller and lighter. Completely autonomous equipment does not need a steering system, cab, seat and other manual operation systems. Autonomous equipment can use any energy source, but because it is smaller and lighter than most conventional fossil fuel powered equipment, it can be more easily adapted to battery electric using the solar, wind and other renewable electricity that is becoming more widely available and affordable.
Making the most of battery powered electric vehicles (BEV) may require redesign of cropping systems, including development of low- or no-draft planting systems, and whole plant harvest systems, even for grains and oilseeds, by using centralised threshing. Smaller, lighter equipment may allow better timeliness if autonomous machines can enter the field when it is too wet for large, heavy conventional equipment.
Benefits of autonomous farm machinery
With no driver to pay, the autonomous machine can take its time to assess the plant health, nutritional status and other needs of individual plants. Mechanical weeding and more targeted herbicide application can drastically cut agri-chemical use. Smaller, lightweight autonomous equipment can operate in small, irregular shaped fields more cost effectively and move around in-field trees and other obstacles, allowing for greater in-field biodiversity.
Autonomous equipment may also allow production of multiple crop species within a single field using strip cropping, intercropping individual plants or other crop geometries. Having multiple crop species in a field is common in less-intensive agriculture, but usually disappears with conventional mechanisation. Having multiple crop species within a field can benefit soil health and facilitate pest management by increasing natural competition.
Because autonomous equipment is GNSS guided and typically operates on predetermined field paths, CTF can be implemented with autonomous machines if equipment is selected to match the operational width.
Case study
Gantry technology comes into its own with GNSS

Nexat Gantry agricultural machine
Gantry technology, where modular attachments are fitted to motorized wide-span vehicles has been proposed in the past but with GNSS guidance it may have a brighter future.
Companies such as German company Nexat GmbH could deliver new momentum to gantry technology that has been ignored for several decades. Hence CTF solutions may be capable of transforming farm mechanisation for a range of field operations and functions.
Some visionaries see autonomous battery electric crop equipment eventually powered mainly by locally produced solar, wind and other on-site electricity generation technologies but often links to the power grid will be needed to smooth out supply. The sun does not shine at night and wind does not blow every day, but renewable power can be produced somewhere in Britain anytime day or night.
Even in the best circumstances, the electricity grid in rural areas of the UK is less dense than the urban grid, and it does not reach out to most fields and pastures. If lack of BEV recharging stations is a challenge for electric cars, that challenge is even greater for farm equipment. Battery swapping technology and in-field charging will be needed to make electrical power a practical option.
Artificial intelligence and autonomous farm machinery
Many of the benefits of autonomous crop equipment depend on some level of artificial intelligence (AI). This is particularly true of individual plant management and other knowledge intensive practices. For example, to select the right herbicide and choose the dosage for targeted herbicide application software would probably compare images of weeds in the field with an on-line library of images.
Effective use of AI equipment depends on connectivity that is currently sparse in much of rural Britain. Ofcom indicates that in 2020 under 50% of rural homes or businesses could obtain 4G service from all network operators.
In many fields the internet is available sporadically, if at all. This is where companies like Wessex Internet, working with local rural authorities, have a role to play.
Agri-tech offers many options for improving the profitability and efficiency of agricultural production, while reducing energy use and curbing negative environmental impacts. Realising these benefits is an opportunity for businesses but also a major challenge for regulators and policy makers. Improving the nation’s rural electrical grid and broadband access are specific challenges.
Case study
Wessex Internet
Dorset internet provider Wessex Internet sees communications as an essential component of future farms. Their ‘5G RuralDorset’ project is exploring how 5G can boost technology adoption.
Firstly, trials have examined the benefit remote sensors bring on-farm (e.g. measuring water quality, or soil health). Wessex estimate they will reduce energy costs by 35% and boost crop yield by 1.7%.
The main barrier to deployment is coverage and cost. Wessex Internet are partnered with Vodafone for the deployment of a 5G system called ‘NB-IoT’ that will reduce monthly cost to below £2/month.
Secondly, Wessex has looked at the benefits from drones and automated vehicles. New generations of light, autonomous and electric vehicles will be a key contributor to emissions reduction by 2040.
A barrier to commercial viability is the inability to transfer large data remotely. On 5G RuralDorset trial farms, Wessex has rolled out ‘mid-band 5G’ that can support automated vehicles (4G cannot). Costs of 5G deployments are still high and automated vehicles are yet to replace traditional systems.
Wessex suggest, within five years, refinement of 5G and these vehicles will reach a viability tipping point and private ‘mid-band’ 5G farm networks will support this next generation of farm vehicles.
To reduce emissions while increasing food production by 70% before 2050, farms will need to adapt to a new technology era, feeding off detailed data. Current rural communications infrastructure is not yet fit to support this. Hence, the next generation of agri-tech providers must work hand-in-hand with communications providers and farmers to ensure infrastructure can support this transition.