Remote Sensing Imagery for Agricultural Monitoring and Precision Farming
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 27
Special Issue Editors
Interests: agriculture; remote sensing
Interests: crop classification; crop yield estimation; soil remote sensing; remote sensing data assimilation; smart agriculture
Special Issue Information
Dear Colleagues,
The trajectory of agricultural monitoring and precision farming is marked by exciting convergence. High-resolution, multi-temporal remote sensing data from diverse platforms—satellites, drones, and even ground-based sensors—are becoming increasingly accessible. Concurrently, artificial intelligence, especially deep learning methodologies, is unlocking unprecedented capabilities in extracting meaningful information from this imagery. We observe a strong push towards real-time analytics, fusing remote sensing insights with data from other sources, such as IoT sensors and weather forecasts. This integration fuels the development of intelligent decision support systems, empowering farmers with actionable insights for optimized resource management and proactive interventions. The future points towards more autonomous agricultural practices, driven by AI-powered interpretation of rich spatial–temporal data, fostering both productivity and sustainability.
This Special Issue serves as a platform to showcase the latest breakthroughs in leveraging the combined power of remote sensing and artificial intelligence for the advancement of modern agriculture. We seek contributions that present novel AI algorithms and methodologies applied to a variety of remote sensing imagery for enhanced crop monitoring, resource optimization, and automation. Key areas of focus include AI-driven analysis for farmland infrastructure, precise crop health assessment, early detection of stressors, accurate yield prediction, efficient water and nutrient management, and the development of intelligent systems for autonomous farming operations. By highlighting these innovative approaches, this Special Issue aims to underscore the critical role of remote sensing and AI in shaping a more sustainable and productive agricultural future.
Dr. Lang Xia
Dr. He Li
Guest Editors
Mr. Junyan Zhang
Guest Editor Assistant
E-Mail: zhangjunyan22@mails.ucas.ac.cn
Institutional information: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Research Interests: crop classification; soil remote sensing; quantitative remote sensing
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 imagery
- artificial intelligence (AI)
- precision farming
- crop health
- crop mapping
- yield prediction
- sustainable agriculture
- multi-sensor fusion
- real-time monitoring
- farmland infrastructure
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
