SEM-EDS and hyperspectral images of vine leaves treated with antifungal products

TL;DR

This paper presents SEM and hyperspectral images of vine leaves treated with antifungal products to study pesticide effects in viticulture.

Contribution

The novel aspect is combining SEM and hyperspectral imaging to analyze pesticide-treated vine leaves for precision viticulture applications.

Findings

Images were captured using a 300-channel hyperspectral camera and SEM for detailed leaf surface analysis.

Three pesticide dilutions were tested on Tempranillo vine leaves from a Cigales vineyard in Spain.

The dataset includes imagery from leaves treated with copper-based and copper-free antifungal products.

Abstract

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 analysing 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 sulphur 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 prepare the samples.

Hence, such imagery is provided in the present dataset, based on the images taken from the leaves with both technics.

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