An IoT Transfer Learning-Based Service for the Health Status Monitoring of Grapevines

An IoT Transfer Learning-Based Service for the Health Status Monitoring of Grapevines

Grapevine is a valuable and profitable crop that is susceptible to various diseases, making effective disease detection crucial for crop monitoring. This work explores the use of deep learning-based plant disease detection as an alternative to traditional methods, employing an Internet of Things app...

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Bibliographic Details
Main Authors: Antonios Morellos, Konstantinos Dolaptsis, Georgios Tziotzios, Xanthoula Eirini Pantazi, Dimitrios Kateris, Remigio Berruto, Dionysis Bochtis
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
IoT
smart agriculture
online detection
grapevine disease detection
transfer learning
Raspberry Pi
Online Access:https://www.mdpi.com/2076-3417/14/3/1049

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https://www.mdpi.com/2076-3417/14/3/1049

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