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Smart Sensors and Smart Data for Precision Agriculture: A Review
Abdellatif Soussi1, Enrico Zero1, Roberto Sacile1
1Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16145 Genova, Italy.
Sensors (Basel, Switzerland)
|April 27, 2024
Summary
Precision agriculture uses smart sensors and technologies like AI and IoT to optimize farming. This approach enhances resource management and promotes sustainable, efficient, and intelligent agricultural practices.
Area of Science:
- Agricultural Science
- Environmental Science
- Computer Science
Background:
- Modern agriculture faces challenges in resource management and sustainability.
- Precision agriculture integrates smart sensors and advanced technologies to address these challenges.
- Smart farming is evolving rapidly with innovations in IoT, big data, and AI.
Purpose of the Study:
- To review the integration of smart sensors and technologies in precision agriculture.
- To analyze the impact of IoT, big data analytics, and AI on crop management and resource optimization.
- To highlight emerging trends, benefits, challenges, and prospects in precision agriculture.
Main Methods:
- Systematic literature review of research papers on precision agriculture.
- Synthesis of insights on the application of smart sensors and enabling technologies (IoT, big data, AI).
- Analysis of the role of these technologies in optimizing agricultural practices.
Main Results:
- Smart sensors combined with IoT, big data, and AI are revolutionizing farming.
- These technologies enable optimized crop management, efficient resource utilization, and enhanced sustainability.
- The review identifies key developments and best practices in the field.
Conclusions:
- Precision agriculture offers a pathway to more sustainable, efficient, and intelligent farming.
- Continued adoption and adaptation of smart technologies are crucial for the future of agriculture.
- This review provides valuable insights for practitioners, researchers, and policymakers.
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