RT info:eu-repo/semantics/article
T1 SEM-EDS and hyperspectral images of vine leaves treated with antifungal products
A1 Sánchez Alonso, Ramón
A1 Rad Moradillo, Juan Carlos
A1 Cambra Baseca, Carlos
A1 Castroviejo Fernández, Mª Pilar
A1 Barros García, Rocío
A1 Herrero Cosío, Álvaro
K1 Precision agriculture
K1 Hyperspectral imaging
K1 SEM
K1 EDS
K1 Mildew
K1 Copper
K1 Sulphur
K1 Vitis vinifera
K1 Viticultura
K1 Viticulture
K1 Antifúngicos
K1 Antifungal agents
AB Scanning electron microscope, better known by its acronymas SEM, is a very useful technique for obtaining highresolution images of the surface of a sample. Hyperspectralimaging provides precise information for analysing vineyardvegetation that could help in improving pesticide applicationin precision viticulture technics. The present dataset is basedon images of vineyard leaves, taken with both technics.The leaves of the cv. Tempranillo, proceeding from a vineyard located inside of the Cigales Denomination of Origin,in north-central Spain, were treated with two Cu-containingproducts: ZZ Cuprocol (70 % w/v copper oxychloride) andCuprantol Duo (14 % w/w copper oxychloride, 14 % w/wcopper hydroxide). In addition, a contact pesticide widelyused in intensive and traditional viticulture based on Folpet,copper-free but containing sulphur and chlorine, has beentested in its commercial form, Vitipec Blue (Cymoxanil 6 %w/w, Folpet 37.5 % w/w, Ascenza, PT).Three dilutions were prepared, one of each compound, at theactual field application concentration of 1.33 g/L. The leaveswere sampled and processed during the 2023 season. These leaves were taken from the central part of representativeshoots of the vine canopy, with east and west exposures.After the application of the pesticide dilutions, images of theleaves were taken with a 300-channel hyperspectral camera (Pika L, Resonon) using a mechanical bench synchronizedwith the camera. Then the SEM analysis was carried afterprepare the samples.Hence, such imagery is provided in the present dataset,based on the images taken from the leaves with both technics
PB Elsevier
SN 2352-3409
YR 2025
FD 2025-10
LK https://hdl.handle.net/10259/11727
UL https://hdl.handle.net/10259/11727
LA eng
NO This publication and the related dataset are part of the DIG4VITIS project (reference TED2021–131551B-I00) funded by MCIN/AEl/10.13039/501100011033 and the European Union ("NextGenerationEU*/PRTR.). The authors would also like to acknowledge Valdelosfrailes cellar, belonging to winery MATARROMERA S.L. and Syngenta for providing leaves and pesticide samples respectively
DS Repositorio Institucional de la Universidad de Burgos
RD 28-may-2026