Home // GEOProcessing 2025, The Seventeenth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article

Aerial Hyperspectral Analysis: Distinguishing Olive Varieties for Precision Agriculture

Authors:
Ruth M. Córdoba Ortega
Alba Gómez Liébana
María Isabel Ramos Galán
Lidia Ortega Alvarado
Juan José Juradro Rodríguez

Keywords: Hyperspectral; olive; drone; agriculture.

Abstract:
Distinguishing olive varieties is essential for optimizing orchard management and oil quality. Hyper-Spectral Imaging (HSI) captures subtle spectral differences in leaf reflectance, surpassing conventional sensors. This study explores the use of drone-acquired HSI to differentiate Arbequina and Picual olives, two predominant varieties. The high spectral resolution of HSI enables precise varietal mapping, supporting more efficient and sustainable agriculture.

Pages: 17 to 22

Copyright: Copyright (c) IARIA, 2025

Publication date: May 18, 2025

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-68558-269-2

Location: Nice, France

Dates: from May 18, 2025 to May 22, 2025