Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy
•NIRS was used for measuring texture attributes of spinach.•Predictions were accurate for main textural parameters.•Good prediction of dry matter content was obtained.•The MEMS spectrophotometer is a promising tool for in-situ spinach monitoring. Green colour, texture and dry matter are important at...
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Veröffentlicht in: | Computers and electronics in agriculture 2018-12, Vol.155, p.446-452 |
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creator | Sánchez, María-Teresa Entrenas, José-Antonio Torres, Irina Vega, Miguel Pérez-Marín, Dolores |
description | •NIRS was used for measuring texture attributes of spinach.•Predictions were accurate for main textural parameters.•Good prediction of dry matter content was obtained.•The MEMS spectrophotometer is a promising tool for in-situ spinach monitoring.
Green colour, texture and dry matter are important attributes to appreciate freshness and quality in spinach. However, there is currently no fast, economical and non-destructive method which allows producers to measure these parameters simultaneously in the plant, in a matter of seconds. However, Near-infrared (NIR) spectroscopy might bridge this gap. NIR spectra of intact spinach leaves and modified partial least square regression models were developed for colour (a* and b*), texture (maximum fracture force, toughness, stiffness and displacement) and dry matter. A calibration equation with a high prediction performance was devised for dry matter content (r2cv = 0.74), while calibration models for all the textural parameters analysed were considered suitable for screening purposes (r2cv > 0.6). For colour-related parameters, the models allowed test samples to be rough screened. We, therefore, suggest that the analysis of green colour, texture and dry matter of spinach leaves in situ, on the plant, using NIRS technology could prove to be a valuable tool for optimizing cultural practices such as fertilization and irrigation and to assess the quality of the spinach leaves when harvested. |
doi_str_mv | 10.1016/j.compag.2018.11.004 |
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Green colour, texture and dry matter are important attributes to appreciate freshness and quality in spinach. However, there is currently no fast, economical and non-destructive method which allows producers to measure these parameters simultaneously in the plant, in a matter of seconds. However, Near-infrared (NIR) spectroscopy might bridge this gap. NIR spectra of intact spinach leaves and modified partial least square regression models were developed for colour (a* and b*), texture (maximum fracture force, toughness, stiffness and displacement) and dry matter. A calibration equation with a high prediction performance was devised for dry matter content (r2cv = 0.74), while calibration models for all the textural parameters analysed were considered suitable for screening purposes (r2cv > 0.6). For colour-related parameters, the models allowed test samples to be rough screened. We, therefore, suggest that the analysis of green colour, texture and dry matter of spinach leaves in situ, on the plant, using NIRS technology could prove to be a valuable tool for optimizing cultural practices such as fertilization and irrigation and to assess the quality of the spinach leaves when harvested.</description><identifier>ISSN: 0168-1699</identifier><identifier>EISSN: 1872-7107</identifier><identifier>DOI: 10.1016/j.compag.2018.11.004</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Calibration ; Color ; Flowers & plants ; Fracture toughness ; Freshness ; In situ analysis ; Irrigation ; MEMS instrument ; Near infrared radiation ; Nondestructive testing ; Parameters ; Portable NIRS ; Quality assessment ; Regression analysis ; Regression models ; Spectrum analysis ; Spinach ; Spinach texture ; Stiffness ; Texture</subject><ispartof>Computers and electronics in agriculture, 2018-12, Vol.155, p.446-452</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Dec 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c380t-8edd94a0dae4dd1753f49efe9ffcfcb337ff0085da8164b713bc08e389290d733</citedby><cites>FETCH-LOGICAL-c380t-8edd94a0dae4dd1753f49efe9ffcfcb337ff0085da8164b713bc08e389290d733</cites><orcidid>0000-0001-5382-4554</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0168169918308937$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Sánchez, María-Teresa</creatorcontrib><creatorcontrib>Entrenas, José-Antonio</creatorcontrib><creatorcontrib>Torres, Irina</creatorcontrib><creatorcontrib>Vega, Miguel</creatorcontrib><creatorcontrib>Pérez-Marín, Dolores</creatorcontrib><title>Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy</title><title>Computers and electronics in agriculture</title><description>•NIRS was used for measuring texture attributes of spinach.•Predictions were accurate for main textural parameters.•Good prediction of dry matter content was obtained.•The MEMS spectrophotometer is a promising tool for in-situ spinach monitoring.
Green colour, texture and dry matter are important attributes to appreciate freshness and quality in spinach. However, there is currently no fast, economical and non-destructive method which allows producers to measure these parameters simultaneously in the plant, in a matter of seconds. However, Near-infrared (NIR) spectroscopy might bridge this gap. NIR spectra of intact spinach leaves and modified partial least square regression models were developed for colour (a* and b*), texture (maximum fracture force, toughness, stiffness and displacement) and dry matter. A calibration equation with a high prediction performance was devised for dry matter content (r2cv = 0.74), while calibration models for all the textural parameters analysed were considered suitable for screening purposes (r2cv > 0.6). For colour-related parameters, the models allowed test samples to be rough screened. We, therefore, suggest that the analysis of green colour, texture and dry matter of spinach leaves in situ, on the plant, using NIRS technology could prove to be a valuable tool for optimizing cultural practices such as fertilization and irrigation and to assess the quality of the spinach leaves when harvested.</description><subject>Calibration</subject><subject>Color</subject><subject>Flowers & plants</subject><subject>Fracture toughness</subject><subject>Freshness</subject><subject>In situ analysis</subject><subject>Irrigation</subject><subject>MEMS instrument</subject><subject>Near infrared radiation</subject><subject>Nondestructive testing</subject><subject>Parameters</subject><subject>Portable NIRS</subject><subject>Quality assessment</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Spectrum analysis</subject><subject>Spinach</subject><subject>Spinach texture</subject><subject>Stiffness</subject><subject>Texture</subject><issn>0168-1699</issn><issn>1872-7107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kFtLAzEQhYMoWC__wIeAz7tmmm2TfRFEvBS8gCj4FtJk0qa0mzXJiv33ptRnn4ZhzpmZ8xFyAawGBtOrVW3CpteLesxA1gA1Y80BGYEU40oAE4dkVGSygmnbHpOTlFas9K0UI_L5HDqfQ_Tdgmb8yUNEqjtLQ15ipF-DXvu8pb2OeoMZY6K-o6n3nTZL2q91lxMd0s78MnsrAzQ5hmRCvz0jR06vE57_1VPycX_3fvtYPb0-zG5vnirDJcuVRGvbRjOrsbEWxIS7pkWHrXPGmTnnwjnG5MRqCdNmLoDPDZPIZTtumRWcn5LL_d4-hq8BU1arMMSunFRjmAKbSMGbomr2KlPeSxGd6qPf6LhVwNSOoVqpPUO1Y6gAVGFYbNd7G5YE3x6jSsZjZ9D6WKIqG_z_C34BSGB-Kg</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Sánchez, María-Teresa</creator><creator>Entrenas, José-Antonio</creator><creator>Torres, Irina</creator><creator>Vega, Miguel</creator><creator>Pérez-Marín, Dolores</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-5382-4554</orcidid></search><sort><creationdate>201812</creationdate><title>Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy</title><author>Sánchez, María-Teresa ; Entrenas, José-Antonio ; Torres, Irina ; Vega, Miguel ; Pérez-Marín, Dolores</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-8edd94a0dae4dd1753f49efe9ffcfcb337ff0085da8164b713bc08e389290d733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Calibration</topic><topic>Color</topic><topic>Flowers & plants</topic><topic>Fracture toughness</topic><topic>Freshness</topic><topic>In situ analysis</topic><topic>Irrigation</topic><topic>MEMS instrument</topic><topic>Near infrared radiation</topic><topic>Nondestructive testing</topic><topic>Parameters</topic><topic>Portable NIRS</topic><topic>Quality assessment</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Spectrum analysis</topic><topic>Spinach</topic><topic>Spinach texture</topic><topic>Stiffness</topic><topic>Texture</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sánchez, María-Teresa</creatorcontrib><creatorcontrib>Entrenas, José-Antonio</creatorcontrib><creatorcontrib>Torres, Irina</creatorcontrib><creatorcontrib>Vega, Miguel</creatorcontrib><creatorcontrib>Pérez-Marín, Dolores</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers and electronics in agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sánchez, María-Teresa</au><au>Entrenas, José-Antonio</au><au>Torres, Irina</au><au>Vega, Miguel</au><au>Pérez-Marín, Dolores</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy</atitle><jtitle>Computers and electronics in agriculture</jtitle><date>2018-12</date><risdate>2018</risdate><volume>155</volume><spage>446</spage><epage>452</epage><pages>446-452</pages><issn>0168-1699</issn><eissn>1872-7107</eissn><abstract>•NIRS was used for measuring texture attributes of spinach.•Predictions were accurate for main textural parameters.•Good prediction of dry matter content was obtained.•The MEMS spectrophotometer is a promising tool for in-situ spinach monitoring.
Green colour, texture and dry matter are important attributes to appreciate freshness and quality in spinach. However, there is currently no fast, economical and non-destructive method which allows producers to measure these parameters simultaneously in the plant, in a matter of seconds. However, Near-infrared (NIR) spectroscopy might bridge this gap. NIR spectra of intact spinach leaves and modified partial least square regression models were developed for colour (a* and b*), texture (maximum fracture force, toughness, stiffness and displacement) and dry matter. A calibration equation with a high prediction performance was devised for dry matter content (r2cv = 0.74), while calibration models for all the textural parameters analysed were considered suitable for screening purposes (r2cv > 0.6). For colour-related parameters, the models allowed test samples to be rough screened. We, therefore, suggest that the analysis of green colour, texture and dry matter of spinach leaves in situ, on the plant, using NIRS technology could prove to be a valuable tool for optimizing cultural practices such as fertilization and irrigation and to assess the quality of the spinach leaves when harvested.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.compag.2018.11.004</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5382-4554</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Calibration Color Flowers & plants Fracture toughness Freshness In situ analysis Irrigation MEMS instrument Near infrared radiation Nondestructive testing Parameters Portable NIRS Quality assessment Regression analysis Regression models Spectrum analysis Spinach Spinach texture Stiffness Texture |
title | Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy |
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