Application of AI, Sensors, and IoT in Modern Agriculture
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 58
Special Issue Editor
Interests: spatial statistics; Bayesian statistics; environmental statistics; biostatistics; epidemiology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Achieving a proportional increase in agricultural production to feed this growing population is one of humanity’s most pressing challenges, and this goal must be pursued against a backdrop of climate change, resource depletion, and increasingly frequent extreme weather events, all of which threaten the stability of global food systems. To address these challenges, the integration of advanced technologies, such as automation, sensors, yield monitors, the Internet of Things (IoT), drones, and robotics, is essential, and these tools, combined with geographic information systems (GISs), artificial intelligence (AI), highly structured mathematical models, and big data analytics, form the foundation of a global “Digital Twin” for agriculture. Spatial analysis of agricultural data plays a pivotal role in this context, allowing for precise decision-making and resource optimization. By leveraging these technologies, we can develop resilient agricultural systems capable of meeting future demands while minimizing environmental impacts.
This Special Issue, which presents some of the most recent advances and novel approaches in the spatial analysis of agricultural data, is intended for a wide and multidisciplinary audience. Papers published under this Special Issue will cover of the following eight major topics:
- Precision agriculture;
- Sensors in modern agriculture;
- The Internet of Things (IoT) in modern agriculture;
- Drones in modern agriculture;
- Robotics in modern agriculture;
- Artificial intelligence (AI) in modern agriculture;
- Geographic information systems (GISs) in modern agriculture.
Prof. Dr. Antonio López-Quílez
Guest Editor
Manuscript Submission Information
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Keywords
- spatial analysis
- big data analytics
- mathematical modeling
- precision agriculture
- resource optimization
- climate resilience
- internet of things (IoT)
- drones
- robotics
- sensors
- GIS
- artificial intelligence (AI)
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