This README file (version 1) was generated on 2025-03-24 by the dataset authors GENERAL INFORMATION 1. Title of dataset: SEM and Hyperspectral images of vine leafs treated with antifungal products 2. Autorship Name: Ramón Sánchez Institution: Escuela Politécnica Superior. Universidad de Burgos Email: rsalonso@ubu.es ORCID: https://orcid.org/0000-0002-9805-4749 Name: Carlos Rad Institution: Faculty of Sciences. Universidad de Burgos Email: crad@ubu.es ORCID: https://orcid.org/0000-0003-2538-2212 Name: Álvaro Herrero Institution: Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Universidad de Burgos Email: ahcosio@ubu.es ORCID: https://orcid.org/0000-0002-2444-5384 Name: Carlos Cambra Institution: Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Universidad de Burgos Email: ccbaseca@ubu.es ORCID: https://orcid.org/0000-0001-5567-9194 Name: Rocío Barros Institution: International Research Center in Critical Raw Materials for Advanced Industrial Technologies (ICCRAM), Universidad de Burgos Email: rbarros@ubu.es ORCID: https://orcid.org/0000-0002-0392-8504 Name: María Pilar Castroviejo Institution: International Research Center in Critical Raw Materials for Advanced Industrial Technologies (ICCRAM), Universidad de Burgos Email: mpcastroviejo@ubu.es ORCID: https://orcid.org/0000-0002-9931-0556 DESCRIPTION ----------- 1. Dataset language English 2. Abstract The dataset contains all raw data of the work "SEM-EDS and hyperspectral images of vine leafs treated with antifungal products" 3. Keywords Precision agriculture, Hyperspectral imaging, SEM, mildew, copper, sulfur, plague, Vitis vinifera 4. Date of data collection July - August, 2023 5. Date of dataset publication March, 2025 6. Funding This dataset is part of the project TED2021-131551B-I00, funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR 7. Geographic location/s of data collection Cubillas de Santa Marta (Valladolid, Spain) 41° 49' 17” N, 4° 35' 49” W ACCESS INFORMATION ------------------ 1. Dataset Creative Commons License 2. Dataset DOI 3. Related publication (Work in process) METHODOLOGICAL INFORMATION -------------------------- Scanning electron microscope, better known by its acronym as SEM, is a very useful technique for obtaining high-resolution images of the surface of a sample. Hyperspectral imaging provides precise information for analyzing vineyard vegetation that could help in improving pesticide application in precision viticulture technics. The present dataset is based on 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-containing products: ZZ Cuprocol (70% w/v copper oxychloride) and Cuprantol Duo (14% w/w copper oxychloride, 14% w/w copper hydroxide). In addition, a contact pesticide widely used in intensive and traditional viticulture based on Folpet, copper-free but containing sulfur and chlorine, has been tested 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 the actual field application concentration of 1.33 g/L. The leaves were sampled and processed during the 2023 season. These leaves were taken from the central part of representative shoots of the vine canopy, with east and west exposures. After the application of the pesticide dilutions, images of the leaves were taken with a 300-channel hyperspectral camera (Pika L, Resonon) using a mechanical bench synchronized with the camera. Then the SEM analysis was carried after prepeare the samples. Hence, such imagery is provided in the present dataset, based on the images taken from the leaves with both technics. Pesticides dilution: 400 Kg/ha in an application volume of: 300 L, leaving a final dilution of: 1.33 g/L. FILE INFORMATION ----------------- The folders in the dataset have been named as follows: - SEM_IMAGES: contains images in folders of the 12 product drops subjected to SEM analysis. Each of these folders is identified by the leaf exposure in the vineyard (E: east, W: west), the side of the leaf where the product was applied (UP: upper side, LOW: lower side), the product applied (CUPCOL: Cuprocol, CUPTOL: Cuprantol duo, VITIPEC: Vitipec Blue), and the magnification of the image (35x, 37x). Each folder contains images of the detected elements and a magnified image of the drop, called “Electron image”. Additionally, an image called "EDS Layered Image" corresponds to the image resulting from the sum of all the layers of the elements detected by the SEM. Examples of these images are shown in figure 3. A total of 185 SEM images are uploaded to this dataset. Each folder correspods to a single folder of images except "WUPVITIPEC35x", were the drop of product is divided in to fractions "superior" and "inferior", as detailed in the correspondent folders. - HYPERSPECTRAL_IMAGES: ccontains eight hyperspectral images corresponding to hypercubes in .bil format. Also, a .bil.hdr text file refers to each image, including all the metadata.Each of these folders is identified by the leaf exposure in the vineyard (E: east, W: west), the side of the leaf where the product was applied (UP: upper side, LOW: lower side), and the status of the product (W: wet, D: dry). - CLIPPINGS: contains two folders named “EAST” and “WEST”, referring to the exposition of the leaves in the vineyard. Four images show the distribution of the leaf cuttings on the SEM cylinder. - Wt.csv: information of the elements detected, specifying the treatment, the referred element, the apparent concentration, k ratio, Wt%, Wt% sigma, standard label and factory standard. Wt% (Weight %) - Pesticide (template correlation) 1. Cuprocol 1.33 2. Cuprocol 0.66 3. Cuprocol 0.33 4. Cuprantol duo 1.33 5. Cuprantol duo 0.66 6. Cuprantol duo 0.33 7. Folpet 1.33 8. Folpet 0.66 9. Folpet 0.33