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Dr John Atanbori

Lecturer in Computer Science

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Qualifications

  • BSc
  • MSc (University of Sunderland )
  • MSc (University of Bradford)
  • PhD (University of Lincoln)

Undergraduate

Database Techniques

Conference Proceeding

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN

Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018). Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN

Journal Article

Classification of bird species from video using appearance and motion features

Atanbori, J., Duan, W., Shaw, E., Appiah, K., & Dickinson, P. (2018). Classification of bird species from video using appearance and motion features. Ecological informatics, 48, 12-23. https://doi.org/10.1016/j.ecoinf.2018.07.005

A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta)

Montoya-P, M. E., Selvaraj, M. G., French, A. P., Atanbori, J., & Pridmore, T. (2019). A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta). Plant Methods, 15(1), https://doi.org/10.1186/s13007-019-0517-6

CNN-Based Cassava Storage Root Counting using Real and Synthetic Images

Atanbori, J., Montoya, M., Selvaraj, M. G., French, A. P., & Pridmore, T. P. (2019). CNN-Based Cassava Storage Root Counting using Real and Synthetic Images. Frontiers in Plant Science, 10, https://doi.org/10.3389/fpls.2019.01516

Automatic classification of flying bird species using computer vision techniques

Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2016). Automatic classification of flying bird species using computer vision techniques. Pattern recognition letters, 81, 53-62. https://doi.org/10.1016/j.patrec.2015.08.015

Research interests

Computer Vision

Machine Learning

Deep Learning

The application of Computer Vision, Machine and Deep Learning to Plant Phenotyping, Agric Technology and Animal Behaviour.