Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods (Second Edition)
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: 15 May 2026 | Viewed by 24
Special Issue Editors
Interests: plant physiology; remote sensing; hyperspectral data; multivariate statistical analysis
Special Issues, Collections and Topics in MDPI journals
Interests: precision agriculture; crop monitoring; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: multispectral data; hyperspectral data; thermal imaging system; drought monitoring; spectral data processing; UAV systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to introduce the second edition of the Special Issue of Remote Sensing titled “Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods”.
Precision agriculture using remote sensing techniques is pivotal in optimizing crop yields, managing resources efficiently, minimizing environmental impacts, and diagnosing crop health issues. Recent advancements in sensor technologies and novel data processing methods have unlocked new possibilities for modern agricultural practices. For this Special Issue, we invite researchers to submit original research articles, comprehensive reviews, and insightful case studies focusing on cutting-edge applications of remote sensing technologies in agriculture. We seek contributions that showcase innovative uses of satellite imagery, UAVs (drones), multispectral and hyperspectral sensors, LiDAR, and radar for agricultural tasks such as crop monitoring, soil analysis, pest and disease detection, water resource management, and yield forecasting. We particularly encourage submissions that explore, but are not limited to, the integration of artificial intelligence (AI) and machine learning (ML) in data analysis, and those that discuss the challenges, limitations, and potential of using remote sensing to transform agriculture. Topics of interest include, but are not limited to, the following:
Crop Monitoring and Management: Studies demonstrating advanced techniques for assessing crop growth, health, and development in real time, using remote sensing data to optimize input management and improve yield outcomes.
Soil Analysis: Research on the integration of remote sensing technologies to assess soil properties, moisture levels, nutrient availability, and other parameters critical for soil health and crop productivity.
Pest and Disease Detection: Innovative approaches that utilize remote sensing methods for early detection and monitoring of pests, diseases, and other biotic stresses that affect crop health and yield, with a focus on precision intervention.
Water Resource Management: Applications of remote sensing in monitoring and optimizing irrigation practices, improving water use efficiency, and managing water resources for sustainable agriculture in both rainfed and irrigated systems.
Yield Prediction and Forecasting: Case studies and research focused on the application of remote sensing to model and predict crop yields, helping farmers and policymakers make informed decisions about resource allocation and market trends.
Prof. Dr. Renan Falcioni
Dr. Renato Herrig Furlanetto
Dr. Luis Crusiol
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 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
- precision agriculture
- remote sensing
- crop monitoring
- satellite imagery
- UAVs (drones)
- multispectral sensing
- hyperspectral imaging
- LiDAR in agriculture
- AI in agriculture
- sustainable farming
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