Plant-Based, Proximal, and Remote Sensing Techniques in Horticultural Crop Production
A special issue of Horticulturae (ISSN 2311-7524).
Deadline for manuscript submissions: 20 March 2026 | Viewed by 75
Special Issue Editors
2. Centre for the Research and Technology of Agroenvironmental and Biological Sciences, CITAB, Inov4Agro, Universidade de Trás-os-Montes e Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal
Interests: remote sensing; precision agriculture; organic production; crop modeling
Interests: remote sensing; precision agriculture; biomass estimation; crop monitoring and modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of remote sensing, precision agriculture, and digital technologies is revolutionizing the monitoring, management, and optimization of agricultural systems. In the face of increasing global demands for sustainable and resilient food production, innovative approaches that combine geospatial data, unmanned aerial vehicles (UAVs), Internet of Things (IoT), and machine learning are becoming indispensable.
Remote sensing and digital tools are now being applied across a wide range of agricultural domains, from crop monitoring and irrigation management to soil analysis, early disease detection, and yield prediction. These technologies enable more accurate, data-driven decisions that support both productivity and sustainability.
The aim of this Special Issue is to bring together recent advances and practical applications of remote sensing and digital technologies in agriculture. We encourage submissions that showcase novel methodologies, sensor integration, modeling approaches, and data analysis techniques that contribute to improving the efficiency and environmental performance of agri-food systems.
Particularly welcome are interdisciplinary studies and case studies that explore applications across diverse agroecosystems and demonstrate real-world impact.
We invite original research articles, reviews, and case studies focusing on, but not limited to, the following topics:
- Remote sensing for crop monitoring and modeling;
- UAV and IoT applications in precision agriculture;
- Irrigation optimization through digital technologies;
- Soil property assessment and spatial variability analysis;
- Early detection of pests and diseases;
- Yield estimation and predictive modeling;
- Integration of geospatial and ground-based data for agricultural decision-making;
- Contributions to sustainable agri-food systems through digital innovation.
We look forward to receiving your contributions to this Special Issue.
Dr. Fabricio Macedo
Dr. Adélia Sousa
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. Horticulturae is an international peer-reviewed open access monthly 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 2200 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
- precision agriculture
- UAV and IoT applications
- crop monitoring and modeling
- sustainable agri-food systems
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