Page Title: The Institute of Environmental Analytics

Page Description: We apply advanced data science techniques and software engineering to develop the tools, insight and advice to help you better understand the risks and opportunities

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Page Text: Project Stories Analysing climate impacts on infrastructure A drive towards sustainable and future-proofing infrastructure means that climate change is beginning to be embedded into the standards that drive the design and maintenance of industries such as transport, buildings and power distribution networks. Alongside this drive for sus .... Read Article Weather alerts for crop monitoring In the ALERT project we worked with a UK supermarket, a large global food company and two commercial growers to develop a proof-of-concept software tool to demonstrate how weather could affect crops across a range of test locations in the UK and overseas. Within agricult.... Read Article Reducing energy costs in cement manufacture This project was undertaken for Hanson UK to examine the potential for dynamic load shifting in order to minimise electricity costs and/or CO2 emissions. The overall objective was to identify when energy-intensive processes (such as cement milling) could be shifted to off-peak ti .... Read Article Improving environmental impact assessments using knowledge graphs Environmental, Social and Health Impact Assessments (ESHIAs) are required by investors and regulatory authorities for large scale engineering and infrastructure projects. The early identification of the impact of such projects on habitats and species can avoid significant financi .... Read Article Forecasting fog using data analytics Fog poses a life-threatening challenge to the travelling public. To help address this problem, we investigated the feasibility of developing fog prediction software to provide early warning alerts to Highway’s England to help improve road safety and save the capital costs involve .... Read Article Strawberry demand forecasting Strawberries are a highly valuable soft fruit product. The UK was estimated to produce 76,000 tonnes of strawberries worth £325m in 2015. Whilst strawberries have grown rapidly in commercial significance, matching supply to demand is a complex and highly dynamic task. Estimating .... Read Article Modelling methane gas emissions using machine learning The re-development of former landfill sites requires a careful risk assessment of the ground gases that are released to ensure they do not form a hazard to later occupants. Our client deploys sensors that monitor emissions of landfill gases including methane, carbon monoxide, car .... Tell us about your data challenge Get in touch The University of Reading's Data Protection policy . The icons in How we do it are from Icons8 .

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Project Stories Tell us about your data challenge  Analysing climate impacts on infrastructure   Weather alerts for crop monitoring   Reducing energy costs in cement manufacture   Improving environmental impact assessments using knowledge graphs   Forecasting fog using data analytics   Strawberry demand forecasting   Modelling methane gas emissions using machine learning  The smallprint 

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