Perspectives of Remote Sensing for Precision Agriculture
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 538
Special Issue Editors
Interests: remote sensing and GIS; precision agriculture; erosion modelling; land use mapping; environmental impact assessment; fractal analysis
Special Issues, Collections and Topics in MDPI journals
Interests: zooplankton; rivers mosquitoes; phytoplankton; entomology; surface water; plankton algae; water quality; water
Interests: agronomic applications of earth observation; remote sensing; digital image processing; geoinformatics; spectroscopy; precision agriculture; UAV; crops; irrigation; soil
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The main goal of precision agriculture is to define decision support systems aiming at optimizing the returns of inputs while preserving natural resources. Thus, remote sensing can play a crucial role, as multiple sources of data of different spectral, spatial, and temporal resolution are becoming continuously available.
However, huge remote sensing datasets and a rich variety of resources render the selection, processing, and homogenization of these data a difficult undertaking. The ultimate role of precision agriculture research is to develop standardized services towards long-term support to the farmers and not merely to provide ad hoc solutions and case-studies.
Therefore, this Special Issue aims to contribute to the development of novel or improved methods, approaches, and algorithms of remote sensing for the benefit of precision agriculture operational research and services.
- Optical data for crop stress detection.
- SAR data for growth monitoring.
- Lidar data for variability detection.
- Satellite remote sensing for extended crop integrated monitoring.
- Drone imaging for permanent cultivation mapping.
- Proximal remote sensing sources for product quality control.
- Object-based image analysis for detecting within-field variability.
- Machine learning for prediction modeling in different farming practices.
- Computer vision for water level monitoring in flooded crops.
- Fractal analysis for optimal scale selection.
Dr. Christos Karydas
Dr. Spiros Mourelatos
Dr. Thomas Alexandridis
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Remote Sensing 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 2700 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
- precision agriculture
- site-specific management
- machine learning
- computer vision
- object-based image analysis
- fractal geometry
- drones
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