Dr. Mercedes Torres Torres

About Dr Mercedes Torres Torres

Mercedes obtained her PhD in Computer Vision at the University of Nottingham in 2014. She then moved on to work as a postdoctoral researcher under a Bill & Melinda Gates Foundation-funded project, where she specialised in the design and development of deep learning and computer vision models for small and skewed datasets.

Mercedes was an Assistant Professor at the School of Computer Science at the University of Nottingham from 2016 to 2021, where she published her research in top peer-reviewed papers and conferences and obtained grant funding from EPSRC, InnovateUK, Huawei, and Nottingham City Council, amongst others.

In 2021, she joined B-Hive Innovations as the Head of Machine Learning. In her role, she has managed a wide portfolio of commercially funded and publicly funded projects tackling different agricultural problems, from potato growth modelling using drone imagery, to fusarium detection from onion imagery, to wireworm detection pre-planting, and to cauliflower yield estimation using multi-spectral imagery. She also managed the development and release of the current HarvestEye technology and HarvestEye Hand-Held.