AI UAV-Based Systems for Agricultural Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 849
Special Issue Editors
Interests: IoT; AI/DL/ML; UAVs; computer vision; signal processing; acoustics
Special Issues, Collections and Topics in MDPI journals
Interests: SDN; computer vision; AI/ML; UAVs; Cloud/Edge architectures
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agricultural systems worldwide face increasing pressures from climate change, resource scarcity, and the demand for sustainable intensification. Unmanned Aerial Vehicles (UAVs) equipped with advanced sensors and combined with Artificial Intelligence (AI) techniques have emerged as a transformative technology for precision agriculture, enabling frequent, high-resolution monitoring of crop health, water status, pest and disease outbreaks, nutrient deficiencies, and yield forecasting.
This Special Issue will focus on the integration of AI and UAV sensor technologies for all aspects of agricultural monitoring, from data acquisition and pre-processing to estimation, prediction, decision support, and actionable farm management insights. Topics of interest include, but are not limited to, multispectral/hyperspectral and thermal sensing, machine and deep learning for feature extraction and anomaly detection, sensor fusion and data quality enhancement, autonomous UAV navigation and mission planning, digital twins in agriculture, and real-world case studies demonstrating the field deployment and impacts of these sensor technologies.
We invite authors to submit original research articles, comprehensive reviews, case studies, and short communications that advance the state of the art in AI-enabled UAV sensing and monitoring for agriculture, with a special emphasis on innovation, practical applicability, and multidisciplinary approaches that bridge sensing technologies with agronomic practices.
Topics of interest for this Special Issue include (but are not limited to) the following:
- AI-based preprocessing and feature extraction from UAV-borne multispectral, hyperspectral, and thermal data;
- Deep learning for crop disease, stress, and phenotyping analysis;
- Sensor fusion, data integration, and spatiotemporal modeling;
- Autonomous UAV systems, path planning, and in-flight decision making;
- Precision irrigation and nutrient management support using predictive models;
- Case studies of real-world deployment in diverse crop systems;
- Explainability and uncertainty estimation in AI for agricultural monitoring;
- Challenges, ethics, and regulatory aspects of UAV-AI integration.
Dr. Jaume Segura-Garcia
Dr. Miguel García-Pineda
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence (AI)
- unmanned aerial vehicles (UAVs)
- precision agriculture
- Agriculture 5.0
- machine learning
- sensor fusion
- multispectral imaging
- hyperspectral imaging
- thermal sensing
- crop monitoring
- autonomous systems
- remote sensing
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