Smart irrigation through water consumption: prediction.

dc.contributor.author	Poveda, Ian
dc.contributor.author	Fuentealba, Diego
dc.contributor.author	Ruminot Ahumada, Nicolás
dc.contributor.author	Montejo Sánchez, Samuel
dc.date.accessioned	2023-11-23T19:05:32Z
dc.date.available	2023-11-23T19:05:32Z
dc.date.issued	2023
dc.identifier.issn	0716-0356
dc.identifier.uri	https://repositorio.utem.cl/handle/30081993/1531
dc.description	Pag. 18 – 23, imágenes.	es
dc.description.abstract	Irrigation is an important factor in agriculture, savingup to 50% when it is smart. This work addresses smart irrigation through an IoT prototype that uses a prediction model trained with secondary data to predict how much water to irrigate. The results showed that the best model is with TCN, achieving an R2 of 0.91 for 1 day and 0.86 for 7 days. This model is implemented in a functional prototype applied to mints that seeks to test its use in a real crop.	es
dc.description.sponsorship	Conference Paper EVIC versión XVII, 2022	es
dc.language.iso	en	es
dc.publisher	Universidad Tecnológica Metropolitana.	es
dc.subject	RIEGO - AUTOMATIZACION	es
dc.subject	PREDICCION (LOGICA) - MODELOS	es
dc.title	Smart irrigation through water consumption: prediction.	es
dc.type	Article	es