Innovations in Remote Sensing and AI-Enabled Sensing for Smart Agriculture
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 1274
Special Issue Editor
Interests: computer graphics; digital earth; geometric modeling; visualization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of remote sensing and geospatial digital innovations, including artificial intelligence (AI), is revolutionizing modern agriculture. This Special Issue focuses on advancements in sensor-driven technologies that enhance precision agriculture through improved data acquisition, analysis, and decision-making. Topics of interest to this Special Issue include remote sensing; the processing and organization of geospatial data; computational and optimization methods—particularly AI-driven approaches; innovative visualization methods such as augmented reality (AR); and 3D geospatial modeling for smart agriculture. Related applications include, but are not limited to, soil monitoring, crop health monitoring, crop classification, yield prediction, field surveying, field scouting, pest and disease detection, crop phenology detection, optimizing irrigation and fertilization, nutrient recommendations, decision support for crop insurance, carbon intensity (CI) monitoring, and climate impact assessments of agriculture.
Contributions exploring satellite imagery, aerial photography, unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR), and sensor networks in agricultural monitoring are welcome. Additionally, studies leveraging machine learning, deep learning, and generative AI for predictive analytics, crop health assessments, and environmental monitoring are encouraged.
This Special Issue aligns with the scope of Sensors by addressing key topics in remote sensors, AI-enabled sensors, sensor networks, multi-sensor positioning, and image-based sensing, all of which play a vital role in advancing smart agriculture.
Prof. Dr. Faramarz F. Samavati
Guest Editor
Manuscript Submission Information
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Keywords
- geoinformatics
- remote sensing
- AI-enabled sensors
- geospatial data processing and organization
- computational and optimization methods
- UAV-based sensing
- LiDAR
- data fusion
- agricultural monitoring
- agrometeorology
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