LAC, Louis; KERESZTES, Barna; LOUARGANT, Marine; DONIAS, Marc; DA COSTA, Jean-Pierre

doi:10.1016/j.dib.2022.108035

Laboratoire de l'intégration, du matériau au système [IMS]

KERESZTES, Barna

Laboratoire de l'intégration, du matériau au système [IMS]

LOUARGANT, Marine

Langue

Article de revue

Ce document a été publié dans

Data in Brief. 2022-06, vol. 42, p. 108035

Résumé en anglais

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.< Réduire

Mots clés en anglais

Vegetable crops

Crop structures

Precision hoeing

Phenotyping

Leaf counting

Precision agriculture

Crop detection

Deep learning

URI

https://oskar-bordeaux.fr/handle/20.500.12278/140531

DOI

http://dx.doi.org/10.1016/j.dib.2022.108035

Lien vers les données de la recherche

https://data.mendeley.com/datasets/d7kbzjr83k/1

Project ANR

Bloc-outil et Imagerie de Précision pour le Binage Intra-rang Précoce - ANR-17-ROSE-0001

Unités de recherche

IMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218

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An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications