Dataset for the prediction of weediness on sugarcane crop in Reunion Island

Frederick Fabre-Ferber; Marion Schwartz; Pascal Marnotte; Thomas Le Bourgeois; Sandrine Auzoux

doi:10.18167/dvn1/yt6cwr

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Dataset for the prediction of weediness on sugarcane crop in Reunion Island

Frederick Fabre-Ferber, Marion Schwartz, Pascal Marnotte, Thomas Le Bourgeois et Sandrine Auzoux

CIRAD Dataverse

2021

DOI: https://doi.org/10.18167/dvn1/yt6cwr

Résumé

This dataset includes the agro-environmental factors and the floristic composition of cane systems studied in Reunion Island, which is necessary for the prediction of weediness

Indicateurs

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Détails

Titre: Dataset for the prediction of weediness on sugarcane crop in Reunion Island
Créateurs - sans rôle: Frederick Fabre-Ferber - (University of Reunion Island)
Marion Schwartz - (CIRAD, UR AIDA, Reunion Island)
Pascal Marnotte - (CIRAD, UR AIDA, Reunion Island)
Thomas Le Bourgeois - (CIRAD, UMR AMAP, France)
Sandrine Auzoux - (CIRAD, UR AIDA, Reunion Island)
Éditeur: CIRAD Dataverse
Identifiants: 99135054909311
Unité académique: BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Langue: English
Type de ressource: Dataset