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  4. AI and IoT Innovations in Agriculture: Comprehensive Analytical Review of Use Cases
 
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2024
Conference Paper
Title

AI and IoT Innovations in Agriculture: Comprehensive Analytical Review of Use Cases

Abstract
This paper provides a comprehensive analytical review of AI and IoT use cases in agriculture, emphasizing their transformative potential in enhancing productivity, sustainability, and efficiency. By analyzing diverse submissions from stakeholders using a standardized methodology, we identified key technological innovations, accuracy in performance, scalability, and environmental impact. The findings highlight best practices such as the integration of multiple technologies, data-driven decision-making, and scalability, offering valuable recommendations for future implementations to drive sustainable agricultural advancements.
Author(s)
Chaliganti, Raghu
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Fathy, Ramy Ahmed
National Telecom Regulatory Authority
Bosse, Sebastian
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024. Proceedings  
Conference
International Workshop on Metrology for Agriculture and Forestry 2024  
DOI
10.1109/MetroAgriFor63043.2024.10948756
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • Agriculture

  • AI

  • Environmental Impact

  • IoT

  • Resource Efficiency

  • Scalability

  • Sustainability

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