FPGA-Based Smart Sensor for Drought Stress Detection in Tomato Plants Using Novel Physiological Variables and Discrete Wavelet Transform
Identifieur interne : 000295 ( Main/Exploration ); précédent : 000294; suivant : 000296FPGA-Based Smart Sensor for Drought Stress Detection in Tomato Plants Using Novel Physiological Variables and Discrete Wavelet Transform
Auteurs : Carlos Duarte-Galvan ; Rene De J. Romero-Troncoso ; Irineo Torres-Pacheco ; Ramon G. Guevara-Gonzalez ; Arturo A. Fernandez-Jaramillo ; Luis M. Contreras-Medina ; Roberto V. Carrillo-Serrano ; Jesus R. Millan-Almaraz [Mexique]Source :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- croissance et développement : Lycopersicon esculentum.
- physiologie : Lycopersicon esculentum.
- Analyse en ondelettes, Produits agricoles, Sol, Stress physiologique, Sécheresses.
English descriptors
- KwdEn :
- MESH :
- chemical : Soil.
- growth & development : Lycopersicon esculentum.
- physiology : Lycopersicon esculentum.
- Crops, Agricultural, Droughts, Stress, Physiological, Wavelet Analysis.
Abstract
Soil drought represents one of the most dangerous stresses for plants. It impacts the yield and quality of crops, and if it remains undetected for a long time, the entire crop could be lost. However, for some plants a certain amount of drought stress improves specific characteristics. In such cases, a device capable of detecting and quantifying the impact of drought stress in plants is desirable. This article focuses on testing if the monitoring of physiological process through a gas exchange methodology provides enough information to detect drought stress conditions in plants. The experiment consists of using a set of smart sensors based on Field Programmable Gate Arrays (FPGAs) to monitor a group of plants under controlled drought conditions. The main objective was to use different digital signal processing techniques such as the Discrete Wavelet Transform (DWT) to explore the response of plant physiological processes to drought. Also, an index-based methodology was utilized to compensate the spatial variation inside the greenhouse. As a result, differences between treatments were determined to be independent of climate variations inside the greenhouse. Finally, after using the DWT as digital filter, results demonstrated that the proposed system is capable to reject high frequency noise and to detect drought conditions.
Url:
DOI: 10.3390/s141018650
PubMed: 25302811
PubMed Central: 4239877
Affiliations:
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Le document en format XML
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">FPGA-Based Smart Sensor for Drought Stress Detection in Tomato Plants Using Novel Physiological Variables and Discrete Wavelet Transform</title>
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<author><name sortKey="Guevara Gonzalez, Ramon G" sort="Guevara Gonzalez, Ramon G" uniqKey="Guevara Gonzalez R" first="Ramon G." last="Guevara-Gonzalez">Ramon G. Guevara-Gonzalez</name>
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<author><name sortKey="Fernandez Jaramillo, Arturo A" sort="Fernandez Jaramillo, Arturo A" uniqKey="Fernandez Jaramillo A" first="Arturo A." last="Fernandez-Jaramillo">Arturo A. Fernandez-Jaramillo</name>
<affiliation><nlm:aff id="af1-sensors-14-18650"> CA Ingeniería de Biosistemas, División de Investigación y Posgrado, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas s/n, Querétaro 76010, Qro., Mexico; E-Mails:<email>cduarte20@alumnos.uaq.mx</email>
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<author><name sortKey="Contreras Medina, Luis M" sort="Contreras Medina, Luis M" uniqKey="Contreras Medina L" first="Luis M." last="Contreras-Medina">Luis M. Contreras-Medina</name>
<affiliation><nlm:aff id="af1-sensors-14-18650"> CA Ingeniería de Biosistemas, División de Investigación y Posgrado, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas s/n, Querétaro 76010, Qro., Mexico; E-Mails:<email>cduarte20@alumnos.uaq.mx</email>
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<affiliation><nlm:aff id="af2-sensors-14-18650"> HSPdigital-CA Telemática, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, Salamanca 36885, Gto, Mexico; E-Mail:<email>troncoso@hspdigital.org</email>
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<affiliation><nlm:aff id="af3-sensors-14-18650"> División de Investigación y Posgrado, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas s/n, Querétaro 76010, Qro., Mexico; E-Mail:<email>roberto.carrillo@uaq.mx</email>
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<term>Droughts</term>
<term>Lycopersicon esculentum (growth & development)</term>
<term>Lycopersicon esculentum (physiology)</term>
<term>Soil</term>
<term>Stress, Physiological</term>
<term>Wavelet Analysis</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse en ondelettes</term>
<term>Lycopersicon esculentum (croissance et développement)</term>
<term>Lycopersicon esculentum (physiologie)</term>
<term>Produits agricoles</term>
<term>Sol</term>
<term>Stress physiologique</term>
<term>Sécheresses</term>
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<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Soil</term>
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<keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Lycopersicon esculentum</term>
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<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Lycopersicon esculentum</term>
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<keywords scheme="MESH" xml:lang="en"><term>Crops, Agricultural</term>
<term>Droughts</term>
<term>Stress, Physiological</term>
<term>Wavelet Analysis</term>
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<front><div type="abstract" xml:lang="en"><p>Soil drought represents one of the most dangerous stresses for plants. It impacts the yield and quality of crops, and if it remains undetected for a long time, the entire crop could be lost. However, for some plants a certain amount of drought stress improves specific characteristics. In such cases, a device capable of detecting and quantifying the impact of drought stress in plants is desirable. This article focuses on testing if the monitoring of physiological process through a gas exchange methodology provides enough information to detect drought stress conditions in plants. The experiment consists of using a set of smart sensors based on Field Programmable Gate Arrays (FPGAs) to monitor a group of plants under controlled drought conditions. The main objective was to use different digital signal processing techniques such as the Discrete Wavelet Transform (DWT) to explore the response of plant physiological processes to drought. Also, an index-based methodology was utilized to compensate the spatial variation inside the greenhouse. As a result, differences between treatments were determined to be independent of climate variations inside the greenhouse. Finally, after using the DWT as digital filter, results demonstrated that the proposed system is capable to reject high frequency noise and to detect drought conditions.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Taiz, L" uniqKey="Taiz L">L. Taiz</name>
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</author>
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</author>
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</author>
<author><name sortKey="Guevara Gonzalez, R G" uniqKey="Guevara Gonzalez R">R.G. Guevara-González</name>
</author>
<author><name sortKey="Mondrag N Olguin, V M" uniqKey="Mondrag N Olguin V">V.M. Mondragón-Olguín</name>
</author>
<author><name sortKey="Del Rocio Verduzco Cuellar, B" uniqKey="Del Rocio Verduzco Cuellar B">B. del Rocío Verduzco-Cuellar</name>
</author>
<author><name sortKey="Torres Pacheco, I" uniqKey="Torres Pacheco I">I. Torres-Pacheco</name>
</author>
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</author>
<author><name sortKey="Duarte Galvan, C" uniqKey="Duarte Galvan C">C. Duarte-Galvan</name>
</author>
<author><name sortKey="Contreras Medina, L M" uniqKey="Contreras Medina L">L.M. Contreras-Medina</name>
</author>
<author><name sortKey="Torres Pacheco, I" uniqKey="Torres Pacheco I">I. Torres-Pacheco</name>
</author>
<author><name sortKey="Romero Troncoso, R D J" uniqKey="Romero Troncoso R">R.D.J. Romero-Troncoso</name>
</author>
<author><name sortKey="Guevara Gonzalez, R G" uniqKey="Guevara Gonzalez R">R.G. Guevara-Gonzalez</name>
</author>
<author><name sortKey="Millan Almaraz, J R" uniqKey="Millan Almaraz J">J.R. Millan-Almaraz</name>
</author>
</analytic>
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<biblStruct><analytic><author><name sortKey="Agam, N" uniqKey="Agam N">N. Agam</name>
</author>
<author><name sortKey="Cohen, Y" uniqKey="Cohen Y">Y. Cohen</name>
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<author><name sortKey="Berni, J A J" uniqKey="Berni J">J.A.J. Berni</name>
</author>
<author><name sortKey="Alchanatis, V" uniqKey="Alchanatis V">V. Alchanatis</name>
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<tree><noCountry><name sortKey="Carrillo Serrano, Roberto V" sort="Carrillo Serrano, Roberto V" uniqKey="Carrillo Serrano R" first="Roberto V." last="Carrillo-Serrano">Roberto V. Carrillo-Serrano</name>
<name sortKey="Contreras Medina, Luis M" sort="Contreras Medina, Luis M" uniqKey="Contreras Medina L" first="Luis M." last="Contreras-Medina">Luis M. Contreras-Medina</name>
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