User profiles for Michael P. Pound
Michael PoundAssociate Professor, University of Nottingham Verified email at nottingham.ac.uk Cited by 5036 |
[HTML][HTML] Uncovering the hidden half of plants using new advances in root phenotyping
… Author links open overlay panel Jonathan A Atkinson 1 , Michael P Pound 1 2 , Malcolm
J Bennett 1 , … Griffiths, MP Pound, O. Gaju, MJ Foulkes, JL Gouis, S. Griffiths, MJ Bennett, J. …
J Bennett 1 , … Griffiths, MP Pound, O. Gaju, MJ Foulkes, JL Gouis, S. Griffiths, MJ Bennett, J. …
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
In plant phenotyping, it has become important to be able to measure many features on large
image sets in order to aid genetic discovery. The size of the datasets, now often captured …
image sets in order to aid genetic discovery. The size of the datasets, now often captured …
RootNav: navigating images of complex root architectures
We present a novel image analysis tool that allows the semiautomated quantification of
complex root system architectures in a range of plant species grown and imaged in a variety of …
complex root system architectures in a range of plant species grown and imaged in a variety of …
Deep learning for multi-task plant phenotyping
There is a particular phenotyping demand to accurately quantify images of crops, and the
natural variability and structure of these plants presents unique difficulties. Recently, machine …
natural variability and structure of these plants presents unique difficulties. Recently, machine …
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures
… Michael P Pound Michael P Pound … Our pipeline is driven by a deep encoder-decoder
network, similar to that presented by Pound et al. [5] but adapted to handle higher-resolution …
network, similar to that presented by Pound et al. [5] but adapted to handle higher-resolution …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
Systems Analysis of Auxin Transport in the Arabidopsis Root Apex
Auxin is a key regulator of plant growth and development. Within the root tip, auxin distribution
plays a crucial role specifying developmental zones and coordinating tropic responses. …
plays a crucial role specifying developmental zones and coordinating tropic responses. …
Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat
…, LU Wingen, M Griffiths, MP Pound… - Journal of …, 2015 - academic.oup.com
Seedling root traits of wheat (Triticum aestivum L.) have been shown to be important for
efficient establishment and linked to mature plant traits such as height and yield. A root …
efficient establishment and linked to mature plant traits such as height and yield. A root …
[HTML][HTML] Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
Background Convolvulus sepium (hedge bindweed) detection in sugar beet fields remains a
challenging problem due to variation in appearance of plants, illumination changes, foliage …
challenging problem due to variation in appearance of plants, illumination changes, foliage …
Three dimensional root CT segmentation using multi-resolution encoder-decoder networks
We address the complex problem of reliably segmenting root structure from soil in X-ray
Computed Tomography (CT) images. We utilise a deep learning approach, and propose a state-…
Computed Tomography (CT) images. We utilise a deep learning approach, and propose a state-…