Advances in UAV Sensing and Data Analytics for Precision Agriculture
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 15 April 2026 | Viewed by 227
Special Issue Editors
Interests: precision agriculture; UAV sensing; radiometric compensation; measurement uncertainty; IoT; machine learning; deep learning; distributed measurement systems including wireless sensor networks (WSNs); Internet of Things (IoT) systems
Interests: electrical and electronic instrumentation; data acquisition (DAQ) systems based on compressive sampling (CS); biomedical instrumentation; embedded systems; distributed measurement systems including wireless sensor networks (WSNs); Internet of Things (IoT) systems; vision-based measurement systems
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Special Issue Information
Dear Colleagues,
Unmanned Aerial Vehicles (UAVs) are transforming modern agriculture by providing efficient, cost-effective, and high-resolution monitoring of crops, soils, and environmental conditions. These technologies deliver valuable data that enable precision farming, thereby improving productivity and sustainability. Nevertheless, because UAV measurements are carried out in uncontrolled environments, several challenges remain. Variability in environmental conditions, sensor limitations, calibration uncertainties, and the complexity of data processing can significantly influence the accuracy and reliability of derived measurements.
This Special Issue invites contributions that address these challenges through innovative sensing technologies, advanced calibration methods, enhanced data quality strategies, and intelligent processing approaches. Studies focusing on UAV-based data analytics, integration with the Internet of Things (IoT), fusion with satellite platforms, and validation against ground-based observations are particularly encouraged. Moreover, the application of artificial intelligence—particularly machine learning and deep learning—for automated data analysis, model evaluation, and decision support is of great interest. In this context, examining how improvements in measurement quality enhance model accuracy is especially valuable. By integrating advances in sensing, analytics, and digital technologies, this Special Issue aims to foster solutions that strengthen the precision, efficiency, and global impact of agricultural monitoring systems.
Dr. Fatemeh Khalesi
Dr. Francesco Picariello
Guest Editors
Manuscript Submission Information
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Keywords
- UAVs
- remote sensing
- precision agriculture
- sensor technology
- data fusion
- IoT
- artificial intelligence
- machine learning
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