Tiny machine learning on the edge: A framework for transfer learning empowered unmanned aerial vehicle assisted smart farming

Tiny machine learning on the edge: A framework for transfer learning empowered unmanned aerial vehicle assisted smart farming

Abstract Emerging technologies are continually redefining the paradigms of smart farming and opening up avenues for more precise and informed farming practices. A tiny machine learning (TinyML)‐based framework is proposed for unmanned aerial vehicle (UAV)‐assisted smart farming applications. The pra...

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Bibliographic Details
Main Authors: Ali M. Hayajneh, Sami A. Aldalahmeh, Feras Alasali, Haitham Al‐Obiedollah, Sayed Ali Zaidi, Des McLernon
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Smart Cities
Subjects:
artificial intelligence
data analytics
IoT and mobile communications
machine learning
smart agriculture
smart cities applications
Online Access:https://doi.org/10.1049/smc2.12072

Internet

https://doi.org/10.1049/smc2.12072

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