IoT-Based Strawberry Disease Prediction System for Smart Farming

Crop diseases cannot be accurately predicted by merely analyzing individual disease causes. Only through construction of a comprehensive analysis system can users be provided with predictions of highly probable diseases. In this study, cloud-based technology capable of handling the collection, analy...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Sehan Kim, Meonghun Lee, Changsun Shin
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Subjects:	smart farming prediction infection forecast model IoT oneM2M LoRa
Online Access:	https://www.mdpi.com/1424-8220/18/11/4051