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Unmanned Aerial Systems in Precision Agriculture

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".

Deadline for manuscript submissions: 25 May 2026 | Viewed by 1095

Special Issue Editors


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Guest Editor
Centre for Research & Technology Hellas (CERTH), Institute for Bio-Economy and Agri-Technology (iBO), 38333 Volos, Greece
Interests: precision agriculture; remote sensing; sensor networks; IoT; digital farming; decision support systems; agricultural engineering; agricultural automations
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research & Technology Hellas (CERTH), 38333 Volos, Greece
Interests: agricultural robotics; agricultural engineering; digital agriculture; artificial intelligence; operation managment; smart farming
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decades, the management of agricultural fields has advanced significantly with the emergence of a new management concept called Precision Agriculture (PA). With the development and utilization of sensing systems for agricultural operations, farmers and farm managers are now able to take informed decisions based on real data from the field. Within the framework of applying PA, there is a growing interest in Unmanned Aerial Systems (UAS), as they provide high potential to vastly promote remote sensing and targeted applications in agricultural environments. With the advanced UAS solutions that are now available for agricultural use, efficient and effective mapping and monitoring of field, crop, and soil status as well as implementation of targeted applications in variable rates are possible bringing agriculture towards the new aera of digitalization. 

The purpose of this Special Issue is to publish research papers, as well as review articles addressing recent advances in unmanned aerial systems and processes in Precision Agriculture. Original, high-quality contributions that have not yet been published and that are not currently under review by other journals or peer-reviewed conferences are sought. Indicatively, the following research topics related to the use of Unmanned Aerial Vehicles (UAV) in agriculture may be considered for publication in this Special Issue:

  • Remote sensing;
  • Computer vision;
  • Artificial Intelligence and Machine learning for sensor data analysis;
  • UAV sensing systems;
  • UAV edge computing applications;
  • Sensors fusion for agricultural applications;
  • ICT applications;
  • SLAM- Simultaneous localization and mapping;
  • Flight planning;
  • Field, crop and soil properties monitoring and mapping;
  • UAV-enabled variable rate applications

Dr. Aristotelis C. Tagarakis
Dr. Dimitrios Kateris
Guest Editors

Manuscript Submission Information

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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

  • remote sensing
  • computer vision
  • UAV
  • artificial intelligence for data analysis
  • sensors fusion for agricultural applications
  • simultaneous localization and mapping (SLAM)
  • flight planning
  • field, crop and soil properties monitoring and mapping

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Published Papers (1 paper)

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Research

13 pages, 3172 KB  
Article
A Simulation Framework for Zoom-Aided Coverage Path Planning with UAV-Mounted PTZ Cameras
by Natalia Chacon Rios, Sabyasachi Mondal and Antonios Tsourdos
Sensors 2025, 25(17), 5220; https://doi.org/10.3390/s25175220 - 22 Aug 2025
Viewed by 708
Abstract
Achieving energy-efficient aerial coverage remains a significant challenge for UAV-based missions, especially over hilly terrain where consistent ground resolution is needed. Traditional solutions use changes in altitude to compensate for elevation changes, which requires a significant amount of energy. This paper presents a [...] Read more.
Achieving energy-efficient aerial coverage remains a significant challenge for UAV-based missions, especially over hilly terrain where consistent ground resolution is needed. Traditional solutions use changes in altitude to compensate for elevation changes, which requires a significant amount of energy. This paper presents a new way to plan coverage paths (CPP) that uses real-time zoom control of a pan–tilt–zoom (PTZ) camera to keep the ground sampling distance (GSD)—the distance between two consecutive pixel centers projected onto the ground—constant without changing the UAV’s altitude. The proposed algorithm changes the camera’s focal length based on the height of the terrain. It only changes the altitude when the zoom limits are reached. Simulation results on a variety of terrain profiles show that the zoom-based CPP substantially reduces flight duration and path length compared to traditional altitude-based strategies. The framework can also be used with low-cost camera systems with limited zoom capability, thereby improving operational feasibility. These findings establish a basis for further development and field validation in upcoming research phases. Full article
(This article belongs to the Special Issue Unmanned Aerial Systems in Precision Agriculture)
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