Deep learning for multi-task plant phenotyping

Pound, Michael P.; Atkinson, Jonathan A.; Wells, Darren M.; Pridmore, Tony P.; French, Andrew P.

doi:10.1109/ICCVW.2017.241

All Outputs (3)

RexMoto-A Range Extender Concept for Light Electric Aircraft (2020)
Conference Proceeding
Glassock, R., Madonna, V., Giangrande, P., & Galea, M. (2020). RexMoto-A Range Extender Concept for Light Electric Aircraft. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC) (930-935). https://doi.org/10.1109/ITEC48692.2020.9161496

© 2020 IEEE. A main limitation of fully electric vehicles is their maximum range, which is principally constrained by the performance (i.e. energy density) of energy storage systems. A range extender, coupled to an electric vehicle, is a system able... Read More about RexMoto-A Range Extender Concept for Light Electric Aircraft.

Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses (2019)
Conference Proceeding
Maciel Guerra, A., Figueredo, G. P., Von Zuben, F., Marti, E., Twycross, J., & Alcocer, M. J. (2019). Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. In 2019 IEEE Congress on Evolutionary Computation (CEC) (1157-1164). https://doi.org/10.1109/CEC.2019.8790319

Microarrays can be employed to better characterise allergies, as interactions between antibodies and allergens in mammals can be monitored. Once the joint dynamics of these elements in both healthy and diseased animals are understood, a model to pred... Read More about Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses.

Deep learning for multi-task plant phenotyping (2017)
Conference Proceeding
Pound, M. P., Atkinson, J. A., Wells, D. M., Pridmore, T. P., & French, A. P. (2017). Deep learning for multi-task plant phenotyping. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017 (2055-2063). https://doi.org/10.1109/ICCVW.2017.241

Plant phenotyping has continued to pose a challenge to computer vision for many years. There is a particular demand to accurately quantify images of crops, and the natural variability and structure of these plants presents unique difficulties. Recent... Read More about Deep learning for multi-task plant phenotyping.