A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses

A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses

The production of crops in greenhouses will ensure the demand for food for the world’s population in the coming decades. Precision agriculture is an important tool for this purpose, supported among other things, by the technology of wireless sensor networks (WSN) in the monitoring of agronomic param...

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Podrobná bibliografie
Hlavní autoři: Cama-Pinto, Dora, Damas, Miguel, Holgado-Terriza, Juan Antonio, Arrabal Campos, Francisco Manuel, Martínez Lao, Juan Antonio, Cama-Pinto, Alejandro, Manzano Agugliaro, Francisco Rogelio
Médium: info:eu-repo/semantics/article
Jazyk:English
Vydáno: MDPI 2023
Témata:
deep learning
neural network
precision agriculture
propagation model
wireless sensor networks
On-line přístup:http://hdl.handle.net/10835/14178

Internet

http://hdl.handle.net/10835/14178

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