Afficher la couverture 'Visible – Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight | Gaci, Belal' en grand format
/5

0 avis

Visible – Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight

Archive ouverte

Gaci, Belal | Abdelghafour, Florent | Ryckewaert, Maxime | Mas Garcia, Sílvia | Louargant, Marine | Verpont, Florence | Laloum, Yohana | Moronvalle, Aude | Bendoula, Ryad | Roger, Jean-Michel, J. -M.

Edité par CCSD ; Elsevier -

International audience. This dataset consists of three groups of hyperspectral images of apple tree plants. The first group of images consists of a temporal monitoring of seven apple tree plants, infected with fire blight ( Erwinia amylovora) , and six control plants over a period of 15 days. The second group of images includes a temporal monitoring of three infected plants, seven plants subjected to water stress, and seven control plants. The third group of images corresponds to acquisitions made in the orchard on nine trees showing symptoms of fire blight and six control trees. The pixel locations of infected areas have been provided for all images featuring symptomatic plants. & COPY; 2023 CTIFL Lanxade France.

Suggestions

Du même auteur

A novel approach to combine spatial and spectral information from hyperspectral images

Archive ouverte | Gaci, Belal | CCSD

International audience. This article proposes a generic framework to process jointly the spatial and spectral information of hyperspectral images. First, sub-images are extracted. Then each of these sub-images follo...

Early detection of Zymoseptoria tritici infection on wheat leaves using hyperspectral imaging data

Archive ouverte | Latchoumane, Lorraine | CCSD

Data collection: The experiment was conducted on two genotypes of durum wheat (Triticum turgidum durum) cultivated under controlled conditions in a growth chamber. Hyperspectral images were collected in planta for twenty-two days ...

Hyperspectral imaging data combined with climate data to predict stomatal conductance and transpiration of grapevine plants

Archive ouverte | Ryckewaert, Maxime | CCSD

International audience. Digital agriculture driven by new intelligent sensors is one of the main ways to improve farmmanagement. Accessing physiological variables such as transpiration (E) and stomatalconductance (g...

Chargement des enrichissements...