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Hyperspectral Images of Vine Leaves Treated with Antifungal Products

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  • Ramón Sánchez

    (Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n., 09006 Burgos, Spain)

  • Carlos Rad

    (Grupo de Investigación en Compostaje (UBUCOMP), Universidad de Burgos, Pl. Misael Bañuelos s/n., 09001 Burgos, Spain)

  • Carlos Cambra

    (Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n., 09006 Burgos, Spain)

  • Rocío Barros

    (Grupo de Investigación ICCRAM-EST, International Research Center in Critical Raw Materials for Advanced Industrial Technologies (ICCRAM), Universidad de Burgos, Pl. Misael Bañuelos s/n., 09001 Burgos, Spain)

  • Álvaro Herrero

    (Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n., 09006 Burgos, Spain)

Abstract

Hyperspectral imagery provides detailed insights for vineyard vegetation assessment, enabling improved pesticide management within precision agriculture. For this reason, the dataset presented here includes hyperspectral images acquired from grapevine leaves treated with two copper-based formulations: ZZ Cuprocol (containing 70% w / v copper oxychloride) and Cuprantol Duo (composed of 14% w / w copper oxychloride and 14% w / w copper hydroxide). In addition, a commonly used contact pesticide in both intensive and traditional viticulture, Folpet—free of copper but containing sulfur and chlorine—was also evaluated in its commercial formulation Vitipec Azul (Cimoxanil 6% w / w , Folpet 37.5% w / w , Ascenza, Portugal). For each product, six different dilution levels were prepared along with a distilled water control. Leaf samples were collected and analyzed during the 2023 growing season from three shoot locations (basal, middle, and apical) and from both orientations of the vine canopy: east and west. Following pesticide treatment, leaf hyperspectral images were captured using a 300-band Pika L camera (Resonon, Bozeman, MT, USA), mounted on a mechanical scanning platform synchronized with the imaging system.

Suggested Citation

  • Ramón Sánchez & Carlos Rad & Carlos Cambra & Rocío Barros & Álvaro Herrero, 2026. "Hyperspectral Images of Vine Leaves Treated with Antifungal Products," Data, MDPI, vol. 11(3), pages 1-12, March.
  • Handle: RePEc:gam:jdataj:v:11:y:2026:i:3:p:53-:d:1881726
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