Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Pound, Michael P.; Burgess, Alexandra J.; Wilson, Michael H.; Atkinson, Jonathan A.; Griffiths, Marcus; Jackson, Aaron S.; Bulat, Adrian; Tzimiropoulos, Georgios; Wells, Darren M.; Murchie, Erik H.; Pridmore, Tony P.; French, Andrew P.

All Outputs (3)

Functional consequences of pre- and postsynaptic expression of synaptic plasticity (2016)
Working Paper
Costa, R. P., Mizusaki, B. E., Jesper Sjöström, P., & van Rossum, M. C. W. Functional consequences of pre- and postsynaptic expression of synaptic plasticity

Growing experimental evidence shows that both homeostatic and Hebbian synaptic plasticity can be expressed presynaptically as well as postsynaptically. In this review, we start by discussing this evidence and methods used to determine expression loci... Read More about Functional consequences of pre- and postsynaptic expression of synaptic plasticity.

Differentiated Responsibilities and Prosocial Behavior in Climate Change Mitigation: Behavioral Evidence from the United States and China (2016)
Working Paper
Kline, R., Seltzer, N., Lukinova, E., & Bynum, A. Differentiated Responsibilities and Prosocial Behavior in Climate Change Mitigation: Behavioral Evidence from the United States and China

The recent Paris agreement has increased optimism that climate change might be successfully mitigated through international agreement. However, the commitments of countries are unenforceable. Therefore domestic political will, including on the part o... Read More about Differentiated Responsibilities and Prosocial Behavior in Climate Change Mitigation: Behavioral Evidence from the United States and China.

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping (2016)
Working Paper
Pound, M. P., Burgess, A. J., Wilson, M. H., Atkinson, J. A., Griffiths, M., Jackson, A. S., …French, A. P. Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Deep learning is an emerging field that promises unparalleled results on many data analysis problems. We show the success offered by such techniques when applied to the challenging problem of image-based plant phenotyping, and demonstrate state-of-th... Read More about Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping.