Arvalis - Institut du Végétal

output

20202025

most citedGlobal Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods

19 citations

researchers with a paper here

F. Baret2 · h 87
Simon Madec2 · h 13
Wei Guo2 · h 17
A. Hund1 · h 34
Alexis Comar1 · h 20
Bangyou Zheng1 · h 36
Benoît de Solan1 · h 12
C. Pozniak1 · h 51
Etienne David1 · h 11
G. Ishikawa1 · h 5
H. Aasen1 · h 29
I. Stavness1 · h 34

collaborating institutions

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR2 papers
The University of TokyoJP2 papers
Agriculture and FoodAU1 paper
Centre de Biologie pour la Gestion des PopulationsFR1 paper
Centre Hospitalier Universitaire de MontpellierFR1 paper
Commonwealth Scientific and Industrial Research OrganisationAU1 paper
ETH ZurichCH1 paper
Hokkaido Agricultural Research CenterJP1 paper
Hôpital Gui de ChauliacFR1 paper
Institute of Crop ScienceJP1 paper
Institut National de la Recherche AgronomiqueMA1 paper
Nanjing Agricultural UniversityCN1 paper

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cs.CV2020★ 19 cited

Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods

E. David, S. Madec, P. Sadeghi-Tehran +14

Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturit…