A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture

A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture

Anomaly detection is a challenging problem in various application domains of Artificial Intelligence, such as in video surveillance, the Internet of Things, and notably, precision agriculture. The effectiveness of anomaly detection in each field is intricately linked to the domain-specific data, adh...

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Bibliographic Details
Main Authors: Konstantinos Gkountakos, Konstantinos Ioannidis, Konstantinos Demestichas, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anomaly detection
deep learning
literature review
precision agriculture
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Online Access:https://ieeexplore.ieee.org/document/10815930/
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https://ieeexplore.ieee.org/document/10815930/

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