AI-Powered UAVs and Imaging Systems for Precision Wheat and Rice Management
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 5 July 2025 | Viewed by 449
Special Issue Editors
Interests: agricultural information technology; crops; image analyzing; unmanned aerial vehicle
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of agricultural digitization and intelligent technologies has opened new avenues for the application of artificial intelligence (AI) in UAV-based imaging systems for crop analysis. This special issue seeks to highlight pioneering research on the innovative use of AI algorithms, remote sensing imaging, and drone technologies in wheat and rice production. Key topics include advanced methods for estimating agronomic parameters such as precision fertilization, pest and disease surveillance, water management, and yield forecasting. Particular emphasis is placed on novel approaches that process drone imagery through AI algorithms and integrate these datasets with crop physiological models to develop intelligent decision-support systems. Furthermore, we encourage studies fostering interdisciplinary collaboration, such as the convergence of computer science with crop management practices. This special issue aspires to provide a platform for academic exchange among global researchers and practitioners, fostering collective efforts toward the sustainable development of food production systems.
Dr. Tao Liu
Dr. Hanzeyu Xu
Guest Editors
Manuscript Submission Information
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Keywords
- precision agriculture
- AI algorithms
- agricultural remote sensing imagery
- crop image analysis
- crop physiological modeling
- sustainable grain production development
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