Next Article in Journal
Distributed Cognitive Positioning System Based on Nearest Neighbor Association and Multi-Point Filter Initiation for UAVs Using DTMB and INS
Previous Article in Journal
UAV Path Planning Trends from 2000 to 2024: A Bibliometric Analysis and Visualization
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Drones
Volume 9
Issue 2
10.3390/drones9020129
drones-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms

by
Pablo Flores Peña
1,2,†,‡,
Mohammad Sadeq Ale Isaac
3,*,†,
Daniela Gîfu
4,†,
Eleftheria Maria Pechlivani
5,† and
Ahmed Refaat Ragab
2,6,†,‡
1
Department of Electrical Engineering, University Carlos III of Madrid, 28919 Madrid, Spain
2
Drone-Hopper Company, 28919 Madrid, Spain
3
Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (C.A.R.), Universidad Politécnica de Madrid (U.P.M.-CSIC), 28006 Madrid, Spain
4
Institute of Computer Science, Romanian Academy–Iași Branch, Codrescu 2, 700481 Iasi, Romania
5
Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece
6
Department of Network, Faculty of Information Systems and Computer Science, October 6 University, Giza 12511, Egypt
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
‡
Current address: Drone Hopper Research Center, Calle Mahón 8, 28290 Las Rozas de Madrid, Spain.
Drones 2025, 9(2), 129; https://doi.org/10.3390/drones9020129
Submission received: 12 January 2025 / Revised: 28 January 2025 / Accepted: 4 February 2025 / Published: 11 February 2025
Browse Figures
Versions Notes

Abstract

This paper explores the integration of UAV-based hyperspectral imaging and advanced AI algorithms for soil texture mapping and stress detection in agricultural settings. The primary focus lies on leveraging multi-modal sensor data, including hyperspectral imaging, thermal imaging, and gamma-ray spectroscopy, to enable precise monitoring of abiotic and biotic stressors in crops. An innovative algorithm combining vegetation indices, path planning, and machine learning methods is introduced to enhance the efficiency of data collection and analysis. Experimental results demonstrate significant improvements in accuracy and operational efficiency, paving the way for real-time, data-driven decision-making in precision agriculture.
Keywords: UAV-based hyperspectral imaging; soil texture mapping; precision agriculture; artificial intelligence (AI) in agriculture UAV-based hyperspectral imaging; soil texture mapping; precision agriculture; artificial intelligence (AI) in agriculture

Share and Cite

MDPI and ACS Style

Flores Peña, P.; Ale Isaac, M.S.; Gîfu, D.; Pechlivani, E.M.; Ragab, A.R. Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms. Drones 2025, 9, 129. https://doi.org/10.3390/drones9020129

AMA Style

Flores Peña P, Ale Isaac MS, Gîfu D, Pechlivani EM, Ragab AR. Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms. Drones. 2025; 9(2):129. https://doi.org/10.3390/drones9020129

Chicago/Turabian Style

Flores Peña, Pablo, Mohammad Sadeq Ale Isaac, Daniela Gîfu, Eleftheria Maria Pechlivani, and Ahmed Refaat Ragab. 2025. "Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms" Drones 9, no. 2: 129. https://doi.org/10.3390/drones9020129

APA Style

Flores Peña, P., Ale Isaac, M. S., Gîfu, D., Pechlivani, E. M., & Ragab, A. R. (2025). Unmanned Aerial Vehicle-Based Hyperspectral Imaging and Soil Texture Mapping with Robust AI Algorithms. Drones, 9(2), 129. https://doi.org/10.3390/drones9020129

Article Metrics

Back to TopTop