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Nutrient Decision Support System


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Improving Soft Fruit Production

EMS is part of a new Innovate UK funded project which focusses on optimising the yield from soft fruit crops. The project aims to combine various techniques including the development of a ‘virtual sensor’ to estimate the nutrient content of the growing substrate.

The Agri-Tech Catalyst Project is an Innovate UK scheme to help businesses and researchers develop innovative solutions to global challenges in the agricultural technology. This project will develop new opportunities to improve the economic and environmental sustainability of the UK soft fruit industry – a vital part of the UK’s rural economy with Defra estimating sales of raspberries at £109m in 2014.

Imports of raspberries have doubled since 2005 in order to satisfy UK consumer demand, but there is great potential for UK growers to increase yields and reduce imports. A 20% increase in the fruit produced each year in the UK would raise the value of the UK industry by £15.7m.

Improved on-farm management of water and fertiliser inputs will help optimise productivity and quality of the produce. The challenge is to increase yields, reduce waste and use resources more sustainably. This will help ensure the security of future production and lower the environmental impact of intensive horticulture.

The project, entitled “Use of Stress Pre-Conditioning, Novel Sensors and AMF to Improve Crop Management” will develop new opportunities to improve the economic and environmental sustainability of the sector. More specifically, novel sensors will be combined with fuzzy logic to predict nutrient levels, in order to more quickly react to crop requirements. Nutrient losses to the environment will be reduced, and berry quality improved. Stress preconditioning and arbuscular mycorrhizal fungi (AMF) will be used to increase yields, improve resource use, aid harvesting and acquisition, and increase crop resilience to abiotic stresses.

Proof-of-concept of these novel approaches and technologies will be tested in experiments using proprietary raspberry varieties at NIAB-EMR (National Institute of Agricultural Botany & East Malling Research) in Kent. The systems will then be deployed and developed on commercial grower sites. The aims are to quantify the potential for greater on-farm fertiliser use efficiency and environmental sustainability, and to raise grower margins from higher yields, consistent high quality and increased production efficiency.

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To discuss Nutrient Decision Support System and our other Sensing Technologies, please contact Sonja our Head of Product Development.

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