Unmanned Aerial System for Crop Monitoring in Precision Agriculture
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Artificial Intelligence and Digital Agriculture".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 9
Special Issue Editors
Interests: UAV; precision agriculture; agricultural remote sensing; image analysis
Special Issues, Collections and Topics in MDPI journals
Interests: crop SIF; phenotyping on LiDAR and UAV platforms; quantification of crop properties; disease surveillance; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Unmanned Aerial Systems (UASs) have become a cornerstone of modern precision agriculture, fundamentally transforming the methods of crop monitoring and management. They provide an unparalleled platform for capturing high-resolution, real-time data on crop health, growth status, and field conditions. Therefore, a deeper understanding of how UAS can enhance the assessment of crop growth, nutrient status, stress conditions, yield, and quality is of crucial importance.
This Special Issue focuses on the application of UAS in crop phenotyping, growth monitoring, disease detection, and yield and quality estimation. Significant emphasis is placed on advanced data analytics, including machine learning and deep learning algorithms, for the automated interpretation of complex UAS-derived datasets to develop predictive models, yield maps, and precise application prescriptions. We welcome all types of contributions, such as original research articles, opinions, and reviews.
Dr. Hengbiao Zheng
Prof. Dr. Xia Yao
Guest Editors
Manuscript Submission Information
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Keywords
- unmanned aerial systems (UASs)
- precision agriculture
- crop monitoring
- stress detection
- yield prediction
- machine learning
- deep learning
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