Cargando…

Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm

A smart farm that automatically regulates environmental conditions such as temperature, humidity and nutrient supply will maximize crop production per unit area by using ICT-based technology. To control the environment in a smart greenhouse, plant growth should be monitored in real time. The physiol...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Jin Hee, Park, Gyung Min, Kim, Eun Jeong, Jeon, Yu Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734539/
https://www.ncbi.nlm.nih.gov/pubmed/36531146
http://dx.doi.org/10.1186/s13765-022-00749-z
_version_ 1784846600250589184
author Park, Jin Hee
Park, Gyung Min
Kim, Eun Jeong
Jeon, Yu Min
author_facet Park, Jin Hee
Park, Gyung Min
Kim, Eun Jeong
Jeon, Yu Min
author_sort Park, Jin Hee
collection PubMed
description A smart farm that automatically regulates environmental conditions such as temperature, humidity and nutrient supply will maximize crop production per unit area by using ICT-based technology. To control the environment in a smart greenhouse, plant growth should be monitored in real time. The physiological activity of a plant was monitored by receiving an electrical signal from inside the plant stem which changed when the plant absorbed nutrients and water. In this study, the environmental conditions in different areas of a smart farm were not much different, and growth parameters were not much affected by the environmental conditions of the area. However, a plant induced electrical signal (PIES) was associated with the atmospheric and media temperature and relative humidity although there was time lag of 6 ~ 7 h for the peaks of the PIES and other environmental conditions. Therefore, monitoring a PIES will make it possible to improve the growth environments in smart farms.
format Online
Article
Text
id pubmed-9734539
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Nature Singapore
record_format MEDLINE/PubMed
spelling pubmed-97345392022-12-12 Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm Park, Jin Hee Park, Gyung Min Kim, Eun Jeong Jeon, Yu Min Appl Biol Chem Article A smart farm that automatically regulates environmental conditions such as temperature, humidity and nutrient supply will maximize crop production per unit area by using ICT-based technology. To control the environment in a smart greenhouse, plant growth should be monitored in real time. The physiological activity of a plant was monitored by receiving an electrical signal from inside the plant stem which changed when the plant absorbed nutrients and water. In this study, the environmental conditions in different areas of a smart farm were not much different, and growth parameters were not much affected by the environmental conditions of the area. However, a plant induced electrical signal (PIES) was associated with the atmospheric and media temperature and relative humidity although there was time lag of 6 ~ 7 h for the peaks of the PIES and other environmental conditions. Therefore, monitoring a PIES will make it possible to improve the growth environments in smart farms. Springer Nature Singapore 2022-12-09 2022 /pmc/articles/PMC9734539/ /pubmed/36531146 http://dx.doi.org/10.1186/s13765-022-00749-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Park, Jin Hee
Park, Gyung Min
Kim, Eun Jeong
Jeon, Yu Min
Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title_full Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title_fullStr Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title_full_unstemmed Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title_short Monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
title_sort monitoring of an electrically induced signal in melon in relation to different environmental conditions in a smart farm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734539/
https://www.ncbi.nlm.nih.gov/pubmed/36531146
http://dx.doi.org/10.1186/s13765-022-00749-z
work_keys_str_mv AT parkjinhee monitoringofanelectricallyinducedsignalinmeloninrelationtodifferentenvironmentalconditionsinasmartfarm
AT parkgyungmin monitoringofanelectricallyinducedsignalinmeloninrelationtodifferentenvironmentalconditionsinasmartfarm
AT kimeunjeong monitoringofanelectricallyinducedsignalinmeloninrelationtodifferentenvironmentalconditionsinasmartfarm
AT jeonyumin monitoringofanelectricallyinducedsignalinmeloninrelationtodifferentenvironmentalconditionsinasmartfarm