Advances in Remote Sensing for Smart Agriculture and Digital Twins
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: 28 February 2026 | Viewed by 10
Special Issue Editors
Interests: agro-geoinformatics; agricultural disasters; geospatial interoperability and standards; EO systems
Interests: agro-geoinformatics; crop mapping; urban redevelopment; economic GIS; GeoAI; digital twin; flood hazards
Special Issues, Collections and Topics in MDPI journals
Interests: AI/machine learning; geographic information science and systems; agro-geoinformatics; cyberinfrastructure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In total, 2.6 billion people make their livelihoods mostly from agriculture. In developing countries, agriculture accounts for 29% of GDP and 65% of jobs, making the sustained productivity of agricultural systems critical for ensuring world food security and economic sustainability. In recent decades, remote sensing and GIS technologies have emerged as valuable tools for agricultural monitoring and management. Moreover, advancements in information technologies, such as artificial intelligence (AI), Internet of Things (IoT), cloud computing, cyberinfrastructure, and digital twin (DT), have provided promising strategies to enhance crop management decisions by adopting a science-based, data-driven approach.
With this background in mind, we invite submissions for this Special Issue that focus on innovative approaches and applications related to Earth system digital twins for smart agriculture. Original research and review articles will be considered that address various aspects of continuous Earth observation platforms, FAIR agricultural data services, agriculture information models, and geospatial intelligence tools.
Potential topics include, but are not limited to the following:
- Remote sensing-based crop monitoring and mapping;
- Remote sensing-based agricultural disaster risk identification, emergency response, and impact assessment;
- Agricultural monitoring and decision support systems;
- Agricultural environments and public health;
- Conceptual frameworks for smart agriculture;
- Interoperable agriculture information models;
- FAIR data services in agricultural applications;
- GeoDataCube for agricultural data management;
- Analysis-ready data (ARD) products for agricultural applications;
- Decision-ready information (DRI) for crop management;
- Machine learning, deep learning, and AI-based methods in smart agriculture;
- Geospatial infrastructures, platforms, and systems to support agricultural sustainability;
- IoT-based smart farming;
- EO data-driven approaches in agricultural applications.
Dr. Lei Hu
Dr. Li Lin
Dr. Chen Zhang
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
- remote sensing
- GIS
- agro-geoinformatics
- smart agriculture
- digital twin
- disaster risk reduction
- reproducible EO science
- FAIR
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