2026-05-28T15:26:48Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/117322026-05-27T00:05:32Zcom_10259_5495com_10259_5086com_10259_2604com_10259_3847com_10259_6168col_10259_5496col_10259_3848col_10259_6169
Repositorio Institucional de la Universidad de Burgos
author
Sánchez Alonso, Ramón
author
Rad Moradillo, Juan Carlos
author
Cambra Baseca, Carlos
author
Barros García, Rocío
author
Herrero Cosío, Álvaro
2026-05-26T12:05:13Z
2026-05-26T12:05:13Z
2025-12
2772-3755
https://hdl.handle.net/10259/11732
10.1016/j.atech.2025.101049
Fungal diseases affecting vineyards are commonly controlled using copper-based fungicides. Inaccurate application of these products usually leads to accumulations of copper in the soil. The use of spectral images in
vineyards is a tool that can help in the correct application of fungicides to improve their efficiency and effectiveness. To do that, a solution is required to identify the copper deposited on the vine leaf. To bridge this gap,
the present work compares images obtained with a hyperspectral camera (Pika L, Resonon) of vineyard leaves
(Vitis vinifera L.) cv. Tempranillo treated with two copper-based products, Cuprantol duo (Syngenta, CH) and
Cuprocol (Syngenta, CH). Treated leaves with both products and the corresponding blanks made with distilled
water were compared. Most of the differences between treatments and products are found in the near-infrared
region (700–740 nm), the green region (550 nm) and the region of (620–640 nm). Maximal spectral variations appeared in the range of 711.16–758.27 nm for wet status products, which allowed to differentiate between
the areas treated with copper-based products from the blanks without product. We can conclude that using
hyperspectral imagery is possible to detect leave areas treated with copper-based fungicides immediately (wet
treatment) after application
eng
Atribución 4.0 Internacional
Vineyard
Hyperspectral
Fungicide
Copper
Vine
Agriculture
Detecting copper-based fungicides in vineyards by means of hyperspectral imagery
info:eu-repo/semantics/article
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URL
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Sanchez-SAT_2025.pdf