Application of Remote Sensing in Crop Production and Farmland Soil Monitoring
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 29 November 2024 | Viewed by 1196
Special Issue Editors
Interests: precision agriculture; remote sensing; crop growth monitoring; yield estimation and prediction; farmland soil monitoring; synthetic aperture radar; machine learning; environment
Interests: remote sensing of ecosystems; carbon and water cycle modelling; ecological investigation; land-use and -cover changes; vegetation dynamic; climate change and natural disasters
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; satellite remote sensing; GIS; machine learning; computer vision
Interests: the synthetic aperture radar image processing; the application of unmanned aerial vehicle; quantitative estimation of land surface variables from satellite remote sensing and on integration of multiple data sources with numerical models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the integration of remote sensing technologies with agricultural practices has ushered in a new era of precision farming and soil management. The capacity to acquire high-resolution data from satellites, UAVs, and other airborne platforms has profoundly transformed the methodologies by which farmers monitor crop growth and assess soil condition. Accurate and timely information on crop growth and soil conditions is essential to precision farming and sustainable agricultural production. Precise and timely insights into crop growth and soil conditions are indispensable for facilitating precision farming and fostering sustainable agricultural production. This Special Issue aims to illuminate the latest advancements in remote sensing techniques and their applications in enhancing crop productivity and monitoring soil conditions directly related to crop growth.
We welcome contributions that delve into various aspects of remote sensing in agriculture, focusing particularly on crop growth monitoring and soil conditions crucial for crop growth. These include, but are not limited to, the following:
- Utilization of satellite and aerial remote sensing techniques for continuous monitoring of crop development and estimation of yield.
- Exploration of hyperspectral and multispectral imaging for early detection of crop diseases, nutrient deficiencies, and stress conditions.
- Utilizing remote sensing enables precise and cost-effective data collection in agricultural fields, facilitating spatial analysis of crop growth patterns and soil variability.
- Implementation of machine learning and artificial intelligence algorithms to analyze remote sensing data for prediction modeling in different farming practices.
- Development of innovative models for real-time monitoring of soil moisture, salinity, nutrient content, and other essential soil parameters directly impacting crop health and productivity.
- Integration of remote sensing data with agricultural models for improved crop management.
Dr. Jianjun Wang
Prof. Dr. Jiahua Zhang
Prof. Dr. Rafia Mumtaz
Dr. Minfeng Xing
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. Plants 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
- precision agriculture
- remote sensing
- crop growth monitoring
- yield estimation and prediction
- farmland soil monitoring
- machine learning
- environment
- image processing
- data fusion
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
