Remote Sensing and Associated Artificial Intelligence in Agricultural Applications (2nd Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 1054
Special Issue Editors
Interests: remote sensing; spatial analysis and landscape planning; GIS; digital photogrammetry; precision farming; lidar
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; Earth Observation data; agronomy; classification; AI; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; earth observation data; forestry; ecology; GIS; photogrammetry; statistics; fire
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on “Remote Sensing and Associated Artificial Intelligence in Agricultural Applications (2nd Edition)” aims to assemble high-level contributions to provide an exhaustive overview of ongoing geomatics and remote sensing-related techniques, making use of artificial intelligence to support agricultural applications.
The following topics are strongly encouraged:
- Research experiences relating to the potentialities and limits of AI in supporting remote sensing-based applications in agricultural and forest contexts. Special focuses placed on the comparison between AI-based and traditional approaches is highly desirable, with the aim of pointing out whether, when and where AI can be successfully and undoubtedly used in place of more ordinary and explicit approaches.
- AI for data integration aimed at maximizing the exploitation of spatial, temporal and spectral features of sensors from different platforms with special concern about scalable approaches relying of the adoption of RPAS, aerial and satellite datasets.
- AI for supporting remote sensing-based services in agriculture and its relationship with data integration and analysis systems (DIASs), high-performance computing (HPC) and Internet of Things (IoT).
- AI for hyper/multi-spectral image interpretation/classification.
- AI for point cloud interpretation from digital photogrammetry and LiDAR systems.
- AI for time trends analysis and interpretation (e.g., crop phenology detection and forecasting, drought trend modeling, etc.).
- AI to support decision-support systems for crop management (irrigation, fertilization, crop protections, etc.) based on the integration of satellite, meteorological and field data.
- Economic analyses of future trends in the technology transfer process of AI towards the agricultural sector, scenarios of profit and reports about the feelings of farmers regarding AI introduction in their ordinary workflow.
All other proposals related to the adoption of AI applied to remote sensing in agriculture will also be evaluated.
Prof. Dr. Enrico Corrado Borgogno Mondino
Dr. Filippo Sarvia
Dr. Samuele De Petris
Guest Editors
Dr. Alessandro Farbo
Guest Editor Assistant
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
- remote sensing
- agricultural application
- common agricultural policy (CAP)
- precision agriculture
- machine learning
- service prototype development
- crop monitoring
- crop detection
- deep learning
- artificial intelligence
- crop classification
- yield prediction
- GIS application
- precision farming
- remotely piloted aircraft systems (RPASs)
- image segmentation
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