MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images

MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images

In the race for economic growth, many production activities have incorporated automated devices into their processes. This is also true for the agriculture sector, where different sensors and Internet of Things (IoT) architectures have been proposed to perform automatic data gathering and data analy...

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Bibliographic Details
Main Authors: Angel Luis Perales Gomez, Juan Jesus Losada del Olmo, Pedro E. Lopez-de-Teruel, Alberto Ruiz, Felix J. Garcia Clemente, Andres Conesa Bueno
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Precise agriculture
crop quality
machine learning
artificial intelligence
smart farming
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/10806693/
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https://ieeexplore.ieee.org/document/10806693/

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