UAV MULTISPECTRAL IMAGES FOR PRECISION VITICULTURE:
POTENTIAL TO DETECT FLAVESCENCE DORÉE AND GRAPEVINE
TRUNK DISEASE
USO DE IMÁGENES MULTIESPECTRALES PROCEDENTES DE UAV EN LA
VITICULTURA DE PRECISIÓN: POTENCIAL EN LA DETECCIÓN DE LA
FLAVESCENCE DORÉE Y LAS ENFERMEDADES DE MADERA DE LA VID
ALBETIS, Johanna1*; JACQUIN, Anne1; NOR-GUTTLER, Fabio1; CLENET, Harold1; GOULARD, Michel2; POILVÉ, Hervé3; ROUSSEAU, Jacques4; BARBIER, Margot4; DUTHOIT, Sylvie5 1 Ecole d’Ingénieurs de PURPAN, Université de Toulouse, INPT, UMR 1201 DYNAFOR, 75 voie du TOEC, BP 57611, F31076 Toulouse Cedex 03, France 2 INRA, UMR 1201 DYNAFOR, 24 chemin de Borderouge, CS 52627, F-31326 Castanet-Tolosan Cedex, France 3 AIRBUS Defense and Space, 5 rue des satellites, F-31400 Toulouse, France 4 Groupe ICV, La Jasse de Maurin, 34970 Lattes, France 5 TerraNIS, 10 avenue de l’Europe, F-31520 Ramonville-Saint-Agne, France *Corresponding author: johanna.albetis@purpan.fr
Among grapevine diseases affecting European vineyards, Flavescence dorée (FD) and Grapevine Trunk Diseases (GTD) are probably the ones with the most severe economic consequences. UAV multispectral images could be a powerful tool for the automatic detection of symptomatic vines. But a missing key step consists of discriminating different kinds of ...