Innovations in arable farming – towards sustainable systems
Precision farmingPrecision farming refers to the application of ‘different technologies and solutions to manage the variability of agricultural production, to improve crop yield and reduce environmental impact’  and uses GNSS (Global Navigation Satellite System) guidance, such as GPS, to apply site specific agricultural measures  which can lead to a wide range of environmental benefits.
Graphic to show the importance of satellite communications in precision farming. ©John DeereThe International Society of Precision Agriculture provides a detailed definition that focuses on the contribution of precision agriculture to the sustainability of food production:
The following table summarises the types of precision technologies available and briefly describes how they can support farmers.“Precision Agriculture is a management strategy that gathers, processes and analyses temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.”
|Farm machinery guidance||Uses GPS positioning to help drivers follow the optimal path thanks to a digital display, minimising the risk of overlaps.|
|Automatic steering||Completely takes over steering of the farm equipment from the driver, allowing the operator to engage in core agricultural tasks.|
|Variable rate applications||Combines GPS positioning with information from other sensors and digital maps to distribute the right amount of agrichemicals.|
|Yield monitoring||Enables site-specific monitoring of harvests, combining the output of a yield sensor with GPS positioning of the harvester.|
|Biomass monitoring (amount of plant material)||Enables site-specific monitoring of biomass in an agricultural field, providing up-to-date information on crop development.|
|Soil condition monitoring||Enables updates of soil moisture levels, fertility or diseases to optimise their management. GPS positioning and software applications identify the exact position of the soil samples sent to laboratories or analysed ‘in the field’.|
|Farm machinery monitoring and asset management||Uses real-time GPS information to monitor the location and mechanical status of equipment and to manage work flows efficiently.|
GNSS (Global Navigation Satellite System) Arable Agriculture applications (adapted from )
Digital solutionsOther data-driven solutions are also becoming available to support sustainable arable production.
- Field robots and drones; for remote tasks, sensing and data gathering
- Internet of Things (IoT) to connect / link technologies
- Traceability and blockchain technologies
- Artificial intelligence (AI)
- 3D printing
Data-driven agricultureTaken together, these innovations allow (and require!) large amounts of data to be gathered and analysed in order to improve decision making by farmers and their advisors. This digital ecosystem also provides a data trail for informing public authorities, regulators and inspectors with the relevant production information.
Digital Farming Framework. Click to expand. (FMS is the Farm Management System, WSN is Wireless Sensor Network) ©D. Paraforos (University of Hohenheim)
How does precision farming compare to traditional farming techniques?Precision farming offers a more precise way of applying and using inputs such as fertilisers, leading to reductions in use compared to traditional farming techniques while maintaining or increasing outputs . Precise application may mean more precise planting, making more efficient use of the land . We can make comparisons between traditional farming techniques and precision farming in terms of the quantity of resources used and how the land is farmed. So, for example, precision farming may involve more use of technology such as sensors for monitoring crops and more in-depth analysis and interpretation of the data gathered . This could be taken further, with farming becoming more automated, as digital technologies such as the IoT (Internet of Things), AI, and machine learning become more prevalent . Comparative studies have shown precision farming has the ability to reduce (in comparison to more traditional farming techniques) the quantity of inputs used (pesticides, herbicides, fertilisers, fuel) [8,9] yet maintain or increase the quantity and quality of the crops / yields produced [10,8]. You’ll find out more about the various techniques required for precision farming in Week 2, along with an exploration of the financial benefits. Precision farming can also support the adoption of farming techniques such as low or no-tillage, integrated pest management and using cover crops, all of which can support environmental sustainability [11,12]. You’ll find out more about the social and environmental benefits and risks of precision farming in Week 3.
Precision farming and digital solutions require data acquisition and analysis skills. Is this a potential hurdle for you? Please tell us about the obstacles you face in terms of workforce training.
Innovation in Arable Farming: Technologies for Sustainable Farming Systems
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