Project Title: Machine learning to determine soil properties: a smartphone-based solution for stakeholders
PhD Studentship: This 3.5 years fully funded doctoral program is a collaboration between Abertay University and the James Hutton Institute. Abertay University is one of the fastest growing universities in the UK. In the latest Guardian University League Tables, Abertay University is ranked 8th in the UK in Civil Engineering among 60 institutes and 1st in Scotland. Abertay University has been named UK University of Year for Teaching Quality by The Times & Sunday Times Good University Guide 2021. The James Hutton Institute (based in Dundee and Aberdeen) is one of the largest environmental and agricultural research institutes in the UK, carrying out research in climate change, soil science, crop breeding, agronomy and many other topics.
Project Description: Soil properties, such as organic carbon, can be estimated using modern data mining and modelling approaches. The proposed approach will correlate soil colour with soil structure metrics extracted from images produced by smartphone and tablet cameras, as well as environmental factors. This approach was used as a foundation to develop a mobile phone app which measures Scottish soil organic carbon content. This research project aims to build on work done to date to develop a new machine learning model that enhances existing performance and functionality. Furthermore, the project proposes analysing the pH, bulk density, particle size distribution and permeability of the soil using images. Following development of the model, a new SolEst app will be developed and tested, which provides an environmentally-friendly and costless platform for land managers working in the construction and agriculture sectors to analyse these and other soil properties using their mobile phone. This interdisciplinary project merges geotechnical engineering, digital technology and artificial intelligence to introduce a cutting-edge method for soil analysis using widely available smartphone technology.
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