Crop Yield Prediction Using Remote Sensing Techniques
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: closed (26 February 2026) | Viewed by 4027
Special Issue Editor
Special Issue Information
Dear Colleagues,
Global agricultural systems are increasingly being challenged by climate variability, land-use change, and the growing demand for food security. Accurate, timely, and scalable methods for crop yield prediction are essential to support precision agriculture, optimize resource use, and guide policy decisions. In this context, remote sensing has emerged as a powerful tool for monitoring crop dynamics and estimating yield across spatial and temporal scales. With advances in satellite, UAV, and sensor technologies—as well as machine learning and data fusion approaches—yield modeling has entered a new era of precision and operational feasibility.
This Special Issue aims to explore cutting-edge research and innovative applications of remote sensing techniques for crop yield prediction. It aligns with the journal’s scope by promoting interdisciplinary studies that integrate Earth observation, agronomy, environmental science, and computational methods to address agricultural challenges. Contributions are encouraged from both methodological and applied perspectives, covering a wide range of crops and agroecological regions.
Topics of interest include, but are not limited to:
- Yield estimation using multispectral, hyperspectral, radar, or thermal imagery;
- Machine learning and hybrid modeling approaches (e.g., LUE, RF, CNNs);
- Data fusion (e.g., MODIS–Landsat, Sentinel–UAV);
- Phenological monitoring and crop growth modeling;
- In-season yield forecasting and stress detection;
- Integration of environmental, soil, and climate data;
- Operational systems and platforms for yield prediction;
- Ground truthing, uncertainty, and model validation.
Original research articles, reviews, and case studies are welcome.
Dr. Maninder Singh Dhillon
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- crop yield prediction
- remote sensing
- NDVI and vegetation indices
- machine learning
- light use efficiency (LUE)
- data fusion (e.g., MODIS–Landsat)
- phenology and crop growth models
- climate and environmental drivers
- UAV and satellite imagery
- precision agriculture
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.
