Deep Learning for Plant Phenotyping

Plant Phenotyping is an emerging science which provides us the knowledge to better understand plants. Indeed, the study of the link between genetic background and environment in which plants develop can help us to determine cures for plants’ sicknesses and new ways to improve yields using limited re...

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Main Author: Mori, Matteo
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/39172/
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author Mori, Matteo
author_facet Mori, Matteo
author_sort Mori, Matteo
building Nottingham Research Data Repository
collection Online Access
description Plant Phenotyping is an emerging science which provides us the knowledge to better understand plants. Indeed, the study of the link between genetic background and environment in which plants develop can help us to determine cures for plants’ sicknesses and new ways to improve yields using limited resources. In this regard, one of the main aspects of Plant Phenotyping that were studied in the past, was Root Phenotyping, which is based on the study of the root architectures. In particular, today with great technology innovations, it was possible to focus the research on non-invasive approaches which allow to study the root development belowground without altering the natural plants’ environment. One of the most common practices, is to make use of X-ray microcomputed tomography (
first_indexed 2025-11-14T19:37:31Z
format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
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language English
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spelling nottingham-391722017-10-12T21:57:53Z https://eprints.nottingham.ac.uk/39172/ Deep Learning for Plant Phenotyping Mori, Matteo Plant Phenotyping is an emerging science which provides us the knowledge to better understand plants. Indeed, the study of the link between genetic background and environment in which plants develop can help us to determine cures for plants’ sicknesses and new ways to improve yields using limited resources. In this regard, one of the main aspects of Plant Phenotyping that were studied in the past, was Root Phenotyping, which is based on the study of the root architectures. In particular, today with great technology innovations, it was possible to focus the research on non-invasive approaches which allow to study the root development belowground without altering the natural plants’ environment. One of the most common practices, is to make use of X-ray microcomputed tomography ( 2016-12-14 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/39172/1/Matteo%20Mori%204262811.pdf Mori, Matteo (2016) Deep Learning for Plant Phenotyping. [Dissertation (University of Nottingham only)] Plant phenotyping root phenotyping roots X-ray microcomputed tomography uCT Deep learning convolutional neural networks CNN classification segmentation.
spellingShingle Plant phenotyping
root phenotyping
roots
X-ray microcomputed tomography
uCT
Deep learning
convolutional neural networks
CNN
classification
segmentation.
Mori, Matteo
Deep Learning for Plant Phenotyping
title Deep Learning for Plant Phenotyping
title_full Deep Learning for Plant Phenotyping
title_fullStr Deep Learning for Plant Phenotyping
title_full_unstemmed Deep Learning for Plant Phenotyping
title_short Deep Learning for Plant Phenotyping
title_sort deep learning for plant phenotyping
topic Plant phenotyping
root phenotyping
roots
X-ray microcomputed tomography
uCT
Deep learning
convolutional neural networks
CNN
classification
segmentation.
url https://eprints.nottingham.ac.uk/39172/