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FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation
Plant transpiration is considered one of the most important physiological functions because it constitutes the plants evolving adaptation to exchange moisture with a dry atmosphere which can dehydrate or eventually kill the plant. Due to the importance of transpiration, accurate measurement methods...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231202/ https://www.ncbi.nlm.nih.gov/pubmed/22163656 http://dx.doi.org/10.3390/s100908316 |
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author | Millan-Almaraz, Jesus Roberto de Jesus Romero-Troncoso, Rene Guevara-Gonzalez, Ramon Gerardo Contreras-Medina, Luis Miguel Carrillo-Serrano, Roberto Valentin Osornio-Rios, Roque Alfredo Duarte-Galvan, Carlos Rios-Alcaraz, Miguel Angel Torres-Pacheco, Irineo |
author_facet | Millan-Almaraz, Jesus Roberto de Jesus Romero-Troncoso, Rene Guevara-Gonzalez, Ramon Gerardo Contreras-Medina, Luis Miguel Carrillo-Serrano, Roberto Valentin Osornio-Rios, Roque Alfredo Duarte-Galvan, Carlos Rios-Alcaraz, Miguel Angel Torres-Pacheco, Irineo |
author_sort | Millan-Almaraz, Jesus Roberto |
collection | PubMed |
description | Plant transpiration is considered one of the most important physiological functions because it constitutes the plants evolving adaptation to exchange moisture with a dry atmosphere which can dehydrate or eventually kill the plant. Due to the importance of transpiration, accurate measurement methods are required; therefore, a smart sensor that fuses five primary sensors is proposed which can measure air temperature, leaf temperature, air relative humidity, plant out relative humidity and ambient light. A field programmable gate array based unit is used to perform signal processing algorithms as average decimation and infinite impulse response filters to the primary sensor readings in order to reduce the signal noise and improve its quality. Once the primary sensor readings are filtered, transpiration dynamics such as: transpiration, stomatal conductance, leaf-air-temperature-difference and vapor pressure deficit are calculated in real time by the smart sensor. This permits the user to observe different primary and calculated measurements at the same time and the relationship between these which is very useful in precision agriculture in the detection of abnormal conditions. Finally, transpiration related stress conditions can be detected in real time because of the use of online processing and embedded communications capabilities. |
format | Online Article Text |
id | pubmed-3231202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32312022011-12-07 FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation Millan-Almaraz, Jesus Roberto de Jesus Romero-Troncoso, Rene Guevara-Gonzalez, Ramon Gerardo Contreras-Medina, Luis Miguel Carrillo-Serrano, Roberto Valentin Osornio-Rios, Roque Alfredo Duarte-Galvan, Carlos Rios-Alcaraz, Miguel Angel Torres-Pacheco, Irineo Sensors (Basel) Article Plant transpiration is considered one of the most important physiological functions because it constitutes the plants evolving adaptation to exchange moisture with a dry atmosphere which can dehydrate or eventually kill the plant. Due to the importance of transpiration, accurate measurement methods are required; therefore, a smart sensor that fuses five primary sensors is proposed which can measure air temperature, leaf temperature, air relative humidity, plant out relative humidity and ambient light. A field programmable gate array based unit is used to perform signal processing algorithms as average decimation and infinite impulse response filters to the primary sensor readings in order to reduce the signal noise and improve its quality. Once the primary sensor readings are filtered, transpiration dynamics such as: transpiration, stomatal conductance, leaf-air-temperature-difference and vapor pressure deficit are calculated in real time by the smart sensor. This permits the user to observe different primary and calculated measurements at the same time and the relationship between these which is very useful in precision agriculture in the detection of abnormal conditions. Finally, transpiration related stress conditions can be detected in real time because of the use of online processing and embedded communications capabilities. Molecular Diversity Preservation International (MDPI) 2010-09-02 /pmc/articles/PMC3231202/ /pubmed/22163656 http://dx.doi.org/10.3390/s100908316 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Millan-Almaraz, Jesus Roberto de Jesus Romero-Troncoso, Rene Guevara-Gonzalez, Ramon Gerardo Contreras-Medina, Luis Miguel Carrillo-Serrano, Roberto Valentin Osornio-Rios, Roque Alfredo Duarte-Galvan, Carlos Rios-Alcaraz, Miguel Angel Torres-Pacheco, Irineo FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title | FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title_full | FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title_fullStr | FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title_full_unstemmed | FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title_short | FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation |
title_sort | fpga-based fused smart sensor for real-time plant-transpiration dynamic estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231202/ https://www.ncbi.nlm.nih.gov/pubmed/22163656 http://dx.doi.org/10.3390/s100908316 |
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