Remote Sensing and GIS in Sustainable and Precision Agriculture
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 9
Special Issue Editors
Interests: water quality; remote sensing; hydrology of semiarid regions; sustainability of agricultural systems; agricultural engineering; remote sensing and watershed management
Special Issue Information
Dear Colleagues,
This Special Issue aims to gather cutting-edge research on the application of geotechnologies, including remote sensing, Geographic Information Systems (GIS), UAVs, LiDAR, spatial modeling, and artificial intelligence, to address the challenges of modern agriculture.
We welcome manuscripts that advance understanding and operationalization of the integrated use of these tools in the following:
- Monitoring crop phenology and productivity;
- Mapping the spatial and temporal variability of nutrients, water, and biotic/abiotic stresses;
- Supporting precision agriculture practices at multiple scales, from small farms to public policy;
- Developing data fusion methodologies (multispectral, hyperspectral, radar, UAV/LiDAR) with agricultural and climatic models;
- Assessing environmental impacts, ecosystem services, and sustainable soil use.
The focus is both on methodological advances, such as new vegetation indices, algorithms, digital platforms, and spatial models, and on practical applications, including case studies, field validation, economic analysis, and sustainability.
Prof. Dr. Fernando Bezerra Lopes
Prof. Dr. Adunias Dos Santos Teixeira
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. Agronomy 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 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
Dear Colleagues,
This Special Issue aims to gather cutting-edge research on the application of geotechnologies, including remote sensing, Geographic Information Systems (GIS), UAVs, LiDAR, spatial modeling, and artificial intelligence, to address the challenges of modern agriculture.
We welcome manuscripts that advance understanding and operationalization of the integrated use of these tools in the following:
- Monitoring crop phenology and productivity;
- Mapping the spatial and temporal variability of nutrients, water, and biotic/abiotic stresses;
- Supporting precision agriculture practices at multiple scales, from small farms to public policy;
- Developing data fusion methodologies (multispectral, hyperspectral, radar, UAV/LiDAR) with agricultural and climatic models;
- Assessing environmental impacts, ecosystem services, and sustainable soil use.
The focus is both on methodological advances, such as new vegetation indices, algorithms, digital platforms, and spatial models, and on practical applications, including case studies, field validation, economic analysis, and sustainability.
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