@inbook{f7fa98b2d471420a97aef03d72e83ef1,
title = "Use of a Multirotor-UAV Equipped with a Multispectral Camera to Detect Vineyard Diseases: A Case Study on Barbera and Dolcetto Cultivars",
abstract = "Viticulture is one of the most important productive sectors of agriculture. The vineyards can be subject to a large production of losses, mainly due to vegetative stress or diseases. Esca disease (ED) is one of the most widespread diseases in the vineyards and it is difficult to be predicted. The main symptoms appear at level of wood and leave starting to the end of showing yellow spots which turn to red—brown before their complete drying. This research aims to develop and validate a fast and reliable system able to recognize diseased plants in the vineyard through remote sensing applications. This experiment was carried out in a vineyard in the North–West of Italy on rows of V. vinifera plants cv. Dolcetto and Barbera using a multirotor-UAV (Unmanned Aerial Vehicle) equipped with a multispectral camera. A ground survey was performed in order to assess the plant{\textquoteright}s health status and georeference their position. During the field test, the UAV flew at three different flying altitude: 30–50–70 m. The collected images were elaborated using Pix4Dmapper software in order to: (i) extract the vineyard rows, (ii) identify their surface covered by a plant, and (ii) calculate a NDVI map for each plant.",
keywords = "Esca disease, NDVI, Precision viticulture, Remote sensing, UAV",
author = "Gabriele Daglio and Raimondo Gallo and Rinaldi, {Monica F.} and Nadia Massa and Valeria Todeschini and Fabrizio Mazzetto",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.",
year = "2020",
doi = "10.1007/978-3-030-39299-4_86",
language = "English",
series = "Lecture Notes in Civil Engineering",
publisher = "SPRINGER",
pages = "803--809",
booktitle = "Lecture Notes in Civil Engineering",
}