New developments in agriculture will continue to be crucial in future as farming adapts to new challenges such as climate change.
DEFRA (the UK's Department for Environment, Food and Rural Affairs) recently announced £11 million in funding to support pilot projects under their Farming Innovation Programme. On World Soil Day, we consider some of these projects and how developments in technology may continue to affect farming practices in the future.
The use of artificial fertilisers has greatly increased crop yields over the last hundred years. Nitrogen in particular can be fixed from the atmosphere to produce fertiliser products such as ammonia and ammonium nitrate, and this is commonly achieved using the Haber process.
This is a chemical process invented in the early 20th century that fixes atmospheric nitrogen using catalysts, high temperatures, and high pressures. While effective, the Haber process is energy-intensive and uses large amounts of natural gas as a raw material.
Some estimates suggest the Haber process alone may account for up to 1% of total CO2 emissions worldwide. Reducing the carbon footprint of agriculture will be important to combat climate change. One way to do so would be to find other ways of producing artificial fertilisers that are less energy intensive and do not rely on fossil fuels.
Two of DEFRA's pilot projects will investigate new processes for low-carbon fertiliser production. The first aims to use organic material in combination with carbon dioxide captured from industrial power generation to produce fertiliser with a reduced carbon footprint. The other aims to produce fertiliser using waste materials from the bio-energy, waste management, and agriculture sectors.
Using waste materials and captured carbon dioxide to produce fertiliser would have a doubly-beneficial effect of reducing the environmental impact of both fertiliser production and the processes from which the waste materials are captured.
AI and Automation
The use of chemicals such as fertilisers and herbicides in agriculture can have a negative impact not just through their manufacture. Indiscriminate spraying of large areas can lead to runoff of these chemicals into watercourses. This in turn can harm wildlife and plants around and downstream from the farmed area.
One way to combat this may be through increased use of automation and AI. Another project funded by DEFRA looks to investigate the use of machine learning to automatically monitor crop fields and detect areas where weeds are prevalent.
These areas can then be selectively sprayed with herbicides appropriate to the weed species that are detected. This may avoid the need for indiscriminate spraying of large areas with multiple or wide-spectrum herbicides, thereby reducing the impact on surrounding areas.
Automation may also help to improve productivity in a time where the agricultural sector is facing labour shortages. Machine harvesting of crops such as wheat has been performed for a long time. However, machines often struggle to be effective when harvesting crops like fruit that are easily damaged or more difficult to spot among surrounding foliage.
Consequently much fruit harvesting in the UK is still done by hand by seasonal workers. Recent advances in robotics and machine learning are beginning to make machine harvesters effective with a wider range of crops. DEFRA has allocated funding for pilot projects investigating the automated harvesting of delicate crops such as lettuce, broccoli, and courgettes.
About the Author: Richard Morris studied for his Masters degree in physics, and DPhil in condensed matter physics, at University College, Oxford.