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An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications
This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supported. Two kinds of annotations are provided: (i) boun...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933512/ https://www.ncbi.nlm.nih.gov/pubmed/35313502 http://dx.doi.org/10.1016/j.dib.2022.108035 |
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author | Lac, Louis Keresztes, Barna Louargant, Marine Donias, Marc Da Costa, Jean-Pierre |
author_facet | Lac, Louis Keresztes, Barna Louargant, Marine Donias, Marc Da Costa, Jean-Pierre |
author_sort | Lac, Louis |
collection | PubMed |
description | This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supported. Two kinds of annotations are provided: (i) bounding boxes enclosing the crops of interest or their stems, weeds being left apart, and (ii) crop structures in the form of star graphs whose vertices are the plant organs (stems and leaves) and whose edges represent the connections between them. The images have been captured in various production and experimentation plots in France using an acquisition module which controls light conditions. They present a wide variety of soil conditions, weed infestation and growth stages. This dataset can benefit precision hoeing and in-field crop monitoring applications that are based on proximal imagery. |
format | Online Article Text |
id | pubmed-8933512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89335122022-03-20 An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications Lac, Louis Keresztes, Barna Louargant, Marine Donias, Marc Da Costa, Jean-Pierre Data Brief Data Article This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supported. Two kinds of annotations are provided: (i) bounding boxes enclosing the crops of interest or their stems, weeds being left apart, and (ii) crop structures in the form of star graphs whose vertices are the plant organs (stems and leaves) and whose edges represent the connections between them. The images have been captured in various production and experimentation plots in France using an acquisition module which controls light conditions. They present a wide variety of soil conditions, weed infestation and growth stages. This dataset can benefit precision hoeing and in-field crop monitoring applications that are based on proximal imagery. Elsevier 2022-03-09 /pmc/articles/PMC8933512/ /pubmed/35313502 http://dx.doi.org/10.1016/j.dib.2022.108035 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Lac, Louis Keresztes, Barna Louargant, Marine Donias, Marc Da Costa, Jean-Pierre An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title | An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title_full | An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title_fullStr | An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title_full_unstemmed | An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title_short | An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
title_sort | annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933512/ https://www.ncbi.nlm.nih.gov/pubmed/35313502 http://dx.doi.org/10.1016/j.dib.2022.108035 |
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