Evaluation of UAV-based multispectral vegetation indices for disease and stress detection in vineyards

Marina Stević, Irina and Bošković, Biljana and Živojinović, Danijela and Jaramaz, Darko and Ranković Vasić, Zorica and Subić, Jonel and Pajić, Miloš (2026) Evaluation of UAV-based multispectral vegetation indices for disease and stress detection in vineyards. In: Book of Proceedings of the XV International Symposium on Agricultural Sciences AgroReS. University of Banja Luka, Faculty of Agriculture, Banja Luka, pp. 49-52. ISBN 978-99976-84-09-7

Text Marina Stević, Bošković, Živojinović, Jaramaz, Ranković Vasić, Subić, Pajić - AgroReS (2026).pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (454kB)

Abstract

In areas with a long-standing tradition of wine production, vineyard management increasingly requires the application of precise and data driven agricultural practices. The adoption of advanced technologies in viticulture has enabled the collection of large amounts of data, supporting early detection of potential problems and providing valuable insights into crop condition and overall vineyard status. The objective of this paper is to analyze the potential of multispectral imaging for vineyard monitoring and to examine its role in improving decision making in modern viticulture. The paper provides an overview of the principles of multispectral sensing and the use of vegetation indices, particularly NDVI and NDRE, for assessing grapevine condition. Based on the reviewed literature, multispectral imaging enables precise monitoring of grapevine status, including the detection of stress, diseases, and pests, as well as the assessment of vine growth, development, and spatial variability within vineyards. Furthermore, its integration with UAV systems allows for efficient data acquisition and high-resolution analysis at the field level. Although certain limitations related to environmental conditions, data interpretation, and sensor calibration remain, multispectral technologies have significant potential to optimize grape production and support more sustainable and resource efficient vineyard management.

Actions (login required)

View Item