Advancements in Remote Sensing for Sustainable Agriculture (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 30 September 2025 | Viewed by 60
Special Issue Editors
Interests: vegetation remote sensing; image processing; image classification; parameter mapping; system development; agricultural application
Special Issues, Collections and Topics in MDPI journals
Interests: precision agriculture; crop growth model; harmonization of remote sensing data; remote sensing observational verifications and environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation remote sensing; agricultural ecological remote sensing; pests and diseases; remote sensing of natural resources and environment; habitat monitoring
Special Issue Information
Dear Colleagues,
The field of remote sensing has emerged as a catalyst for transformation in agriculture, offering unprecedented insights and possibilities for sustainable practices. Rapid advancements in sensor technologies, coupled with sophisticated methodologies, have ushered in an era where remote sensing plays a pivotal role in revolutionizing agricultural sustainability. The capacity to collect, analyze, and interpret data from diverse sources has empowered researchers and practitioners to address challenges ranging from crop management to environmental impact with unprecedented precision.
In the dynamic agricultural landscape, converging state-of-the-art remote sensing technologies and sustainable practices provide fertile ground for exploration and innovation. This Special Issue is crucial for the latest breakthroughs in utilizing remote sensing data to propel sustainable agriculture forward. In addition to the areas already highlighted, articles may address, but are not limited to, the following topics:
- Remote sensing applications for precise crop health monitoring and accurate yield prediction.
- Implementing precision agriculture techniques utilizing satellite, aerial, and ground-based remote sensing technologies.
- Assessment of the impact of land use changes on sustainable agriculture.
- Monitoring and effective management of water resources in agriculture through remote sensing.
- Integrating machine learning and artificial intelligence with remote sensing data for robust agricultural decision support.
- Evaluation of the environmental impact of agricultural activities through remote sensing.
- Exploring innovative applications of remote sensing in developing and enhancing models for crop growth, aiming to optimize agricultural practices.
- Investigating the influence of pests and diseases on crop production through the lens of remote sensing, with a focus on precision monitoring and management.
Prof. Dr. Wenjiang Huang
Dr. Kun Wang
Guest Editors
Dr. Tiecheng Huang
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
- sustainable agriculture
- precision farming
- crop monitoring
- environmental impact
- land use change
- crop growth model
- water resource management
- machine learning
- artificial intelligence
- decision support systems
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Related Special Issue
- Advancements in Remote Sensing for Sustainable Agriculture in Remote Sensing (10 articles)
