The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Enabling Smart Farming Through Edge Artificial Intelligence (AI)
Abstract
This chapter explores the integration of edge AI in smart farming using technologies like edge computing and artificial intelligence algorithms. Process of deploying AI algorithms onto the edge devices such as sensors and IoT components to perform real-time data analysis and intelligent decision-making will be discussed in the chapter. The fundamentals of edge AI, its role and applications in smart farming including crop monitoring, livestock management, disease detection intelligent irrigation and decision-making will be focussed. The chapter also discusses the importance of implementing AI algorithms in edge considering hardware, software, network and optimization of AI algorithms. The chapter also discusses how Edge AI can help farmers by bringing intelligence directly to the field, reducing reliance on cloud computing, and improving data privacy and security. The chapter also discusses the challenges and considerations of deploying Edge AI systems in agricultural settings, such as resource constraints, connectivity issues, and algorithm optimisation.
Related Content
Pankaj Bhambri, Alex Khang.
© 2024.
17 pages.
|
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, Vishal Eswaran.
© 2024.
27 pages.
|
Punam Rattan, Geeta Sharma, Pavitar Prakash Singh.
© 2024.
24 pages.
|
J. Avanija, C. Rajyalakshmi, K. Reddy Madhavi, B. Narendra Kumar Rao.
© 2024.
14 pages.
|
Sajida Mustafa, Rehan Mehmood Sabir, Abid Sarwar, Muhammad Safdar, Mohammed Saleh Al Ansari, Saddam Hussain.
© 2024.
26 pages.
|
Muhammad Fawaz Saleem, Ali Raza, Rehan Mehmood Sabir, Muhammad Safdar, Muhammad Faheem, Mohammed Saleh Al Ansari, Saddam Hussain.
© 2024.
29 pages.
|
Kashif Ali, Zuhaib Nishtar, Rehan Mehmood Sabir, Muhammad Safdar.
© 2024.
20 pages.
|
|
|