Contributing to agriculture by using soybean seed data from the tetrazolium test

Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is the major driver of many national economies. Nowadays, from each new planting to harvesting process it is mandatory and crucial to apply some k...

Full description

Saved in:
Bibliographic Details
Published inData in brief Vol. 23; p. 103652
Main Authors Pereira, Douglas F., Bugatti, Pedro H., Lopes, Fabricio M., Souza, André L.S.M., Saito, Priscila T.M.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.04.2019
Elsevier
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is the major driver of many national economies. Nowadays, from each new planting to harvesting process it is mandatory and crucial to apply some kind of technology to optimize a given singular process, or even the entire cropping chain. For instance, digital image analysis joined with machine learning methods can be applied to obtain and guarantee a higher quality of the harvest, leading to not only a greater profit for producers, but also better products with lower cost to the final consumers. Thus, to provide this possibility this work describes a visual feature dataset from soybean seed images obtained from the tetrazolium test. This is a test capable to define how healthy a given seed is (e.g. how much the plant will produce, or if it is resistant to inclement weather, among others). To answer these questions we proposed this dataset which is the cornerstone to provide an effective classification of the soybean seed vigor (i.e. an extremely tiresome human visual inspection process). Besides, as one of the most prominent international commodity, the soybean production must follow rigid quality control process to be part of world trade. Hence, small mistakes in the seed vigor definition of a given seed lot can lead to huge losses.
AbstractList Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is the major driver of many national economies. Nowadays, from each new planting to harvesting process it is mandatory and crucial to apply some kind of technology to optimize a given singular process, or even the entire cropping chain. For instance, digital image analysis joined with machine learning methods can be applied to obtain and guarantee a higher quality of the harvest, leading to not only a greater profit for producers, but also better products with lower cost to the final consumers. Thus, to provide this possibility this work describes a visual feature dataset from soybean seed images obtained from the tetrazolium test. This is a test capable to define how healthy a given seed is (e.g. how much the plant will produce, or if it is resistant to inclement weather, among others). To answer these questions we proposed this dataset which is the cornerstone to provide an effective classification of the soybean seed vigor (i.e. an extremely tiresome human visual inspection process). Besides, as one of the most prominent international commodity, the soybean production must follow rigid quality control process to be part of world trade. Hence, small mistakes in the seed vigor definition of a given seed lot can lead to huge losses.
Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is the major driver of many national economies. Nowadays, from each new planting to harvesting process it is mandatory and crucial to apply some kind of technology to optimize a given singular process, or even the entire cropping chain. For instance, digital image analysis joined with machine learning methods can be applied to obtain and guarantee a higher quality of the harvest, leading to not only a greater profit for producers, but also better products with lower cost to the final consumers. Thus, to provide this possibility this work describes a visual feature dataset from soybean seed images obtained from the tetrazolium test. This is a test capable to define how healthy a given seed is (e.g. how much the plant will produce, or if it is resistant to inclement weather, among others). To answer these questions we proposed this dataset which is the cornerstone to provide an effective classification of the soybean seed vigor (i.e. an extremely tiresome human visual inspection process). Besides, as one of the most prominent international commodity, the soybean production must follow rigid quality control process to be part of world trade. Hence, small mistakes in the seed vigor definition of a given seed lot can lead to huge losses. Keywords: quality control, soybean seed data, tetrazolium test, classication, visual features
ArticleNumber 103652
Author Bugatti, Pedro H.
Saito, Priscila T.M.
Souza, André L.S.M.
Lopes, Fabricio M.
Pereira, Douglas F.
AuthorAffiliation a Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
c Institute of Computing, University of Campinas, Sao Paulo, Brazil
b Belagricola Enterprise, Parana, Brazil
AuthorAffiliation_xml – name: b Belagricola Enterprise, Parana, Brazil
– name: c Institute of Computing, University of Campinas, Sao Paulo, Brazil
– name: a Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
Author_xml – sequence: 1
  givenname: Douglas F.
  orcidid: 0000-0003-1234-2860
  surname: Pereira
  fullname: Pereira, Douglas F.
  email: douglaspereira@alunos.utfpr.edu.br
  organization: Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
– sequence: 2
  givenname: Pedro H.
  orcidid: 0000-0001-9421-9254
  surname: Bugatti
  fullname: Bugatti, Pedro H.
  email: pbugatti@utfpr.edu.br
  organization: Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
– sequence: 3
  givenname: Fabricio M.
  orcidid: 0000-0002-8786-3313
  surname: Lopes
  fullname: Lopes, Fabricio M.
  email: fabricio@utfpr.edu.br
  organization: Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
– sequence: 4
  givenname: André L.S.M.
  surname: Souza
  fullname: Souza, André L.S.M.
  email: andre.souza@belagricola.com.br
  organization: Belagricola Enterprise, Parana, Brazil
– sequence: 5
  givenname: Priscila T.M.
  orcidid: 0000-0002-4870-4766
  surname: Saito
  fullname: Saito, Priscila T.M.
  email: psaito@utfpr.edu.br
  organization: Department of Computing, Federal University of Technology - Paraná, Parana, Brazil
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30788393$$D View this record in MEDLINE/PubMed
BookMark eNp9kV9rHCEUxSUkNGmaD5CXMo992amOf3akUChLmwYC6UP7LFe9s3GZHVN1AttPXzebhuSlT-rx3J9yzltyPMUJCblktGWUqY-b1gfbdpT1LetaqukROeu47BZcUH38Yn9KLnLeUEqZFFWUb8gpp8u-55qfkR-rOJUU7FzCtG5KbGCdgpvHMids7K6Z817PcWcRpiYj-sZDgWZIcduUO2wKlgR_4hjmesZc3pGTAcaMF0_rOfn17evP1ffFze3V9erLzcJJtiwL1vuBOe6Xg_aq74BqbS0uJdWDFpZL5QVzKMEJ2VmhGBMKvAYptR5Ac8XPyfWB6yNszH0KW0g7EyGYRyGmtYFUghvRDANISx3ruACBaK3UVFLgrpdeKITK-nxg3c92i95hjQTGV9DXN1O4M-v4YBRXWlBRAR-eACn-nmsKZhuyw3GECeOcTcd6ITlVklYrO1hdijknHJ6fYdTsizUbU4s1-2IN60wtts68f_m_54l_NVbDp4MBa-IPAZPJLuDk0IeErtRIwn_wfwHstLaa
CitedBy_id crossref_primary_10_1016_j_saa_2020_118488
crossref_primary_10_3390_molecules28196828
crossref_primary_10_7717_peerj_13434
crossref_primary_10_1590_2317_1545v41n4223299
crossref_primary_10_21930_rcta_vol21_num3_art_1344
crossref_primary_10_1093_plphys_kiab301
crossref_primary_10_5937_AASer2151019N
crossref_primary_10_3390_plants11233406
crossref_primary_10_1007_s11042_023_15804_0
crossref_primary_10_3390_agronomy13041167
crossref_primary_10_1109_TIE_2020_2969106
Cites_doi 10.5244/C.9.51
10.1016/0031-3203(95)00067-4
10.1007/BF00130487
10.1145/2851613.2851637
10.1109/PROC.1979.11328
ContentType Journal Article
Copyright 2019 The Authors
2019 The Authors 2019
Copyright_xml – notice: 2019 The Authors
– notice: 2019 The Authors 2019
DBID 6I.
AAFTH
NPM
AAYXX
CITATION
7X8
5PM
DOA
DOI 10.1016/j.dib.2018.12.090
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
PubMed
CrossRef
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle PubMed
CrossRef
MEDLINE - Academic
DatabaseTitleList PubMed



Database_xml – sequence: 1
  dbid: DOA
  name: Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
EISSN 2352-3409
EndPage 103652
ExternalDocumentID oai_doaj_org_article_ffa5b0c1234a4eebb59050a3c85d46ea
10_1016_j_dib_2018_12_090
30788393
S2352340919300010
Genre Journal Article
GroupedDBID 0R~
0SF
4.4
457
53G
5VS
6I.
AACTN
AAEDT
AAEDW
AAFTH
AAIKJ
AALRI
AAXUO
ABMAC
ACGFS
ADBBV
ADEZE
ADRAZ
AEXQZ
AFTJW
AGHFR
AITUG
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
AOIJS
BAWUL
BCNDV
DIK
EBS
EJD
FDB
GROUPED_DOAJ
HYE
IPNFZ
KQ8
M41
M48
M~E
NCXOZ
O9-
OK1
RIG
ROL
RPM
SSZ
ADVLN
AFJKZ
AKRWK
NPM
AAYXX
CITATION
7X8
5PM
ID FETCH-LOGICAL-c517t-18df1c3d7f9d682a099bbe7509f94b356d41ce5ac452b461146ad9a5599fa9363
IEDL.DBID RPM
ISSN 2352-3409
IngestDate Tue Oct 22 15:15:13 EDT 2024
Tue Sep 17 21:14:30 EDT 2024
Fri Oct 25 11:31:53 EDT 2024
Thu Sep 26 19:39:18 EDT 2024
Sat Sep 28 08:38:58 EDT 2024
Tue Jul 25 20:52:51 EDT 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords soybean seed data
visual features
classication
quality control
tetrazolium test
Language English
License This is an open access article under the CC BY license.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c517t-18df1c3d7f9d682a099bbe7509f94b356d41ce5ac452b461146ad9a5599fa9363
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-4870-4766
0000-0003-1234-2860
0000-0002-8786-3313
0000-0001-9421-9254
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369404/
PMID 30788393
PQID 2184530650
PQPubID 23479
PageCount 1
ParticipantIDs doaj_primary_oai_doaj_org_article_ffa5b0c1234a4eebb59050a3c85d46ea
pubmedcentral_primary_oai_pubmedcentral_nih_gov_6369404
proquest_miscellaneous_2184530650
crossref_primary_10_1016_j_dib_2018_12_090
pubmed_primary_30788393
elsevier_sciencedirect_doi_10_1016_j_dib_2018_12_090
PublicationCentury 2000
PublicationDate 2019-04-01
PublicationDateYYYYMMDD 2019-04-01
PublicationDate_xml – month: 04
  year: 2019
  text: 2019-04-01
  day: 01
PublicationDecade 2010
PublicationPlace Netherlands
PublicationPlace_xml – name: Netherlands
PublicationTitle Data in brief
PublicationTitleAlternate Data Brief
PublicationYear 2019
Publisher Elsevier Inc
Elsevier
Publisher_xml – name: Elsevier Inc
– name: Elsevier
References Association of Official Seed Analysis (AOSA)/Society of Commercial Seed Technologies (SCST), Tetrazolium testing handbook, Handbook of seed testing - 2010 Edition revised 2017 (2017) 209–241.
Patil, Dadlani (bib2) 2009
Swain, Ballard (bib5) 1991; 7
Stehling, Nascimento, Falcão (bib4) 2002
Haralick (bib6) 1979; 67
D.F. Pereira, P.T.M. Saito, P.H. Bugatti, An image analysis framework for effective classification of seed damages, in: Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC), ACM, 2016, pp. 61–66.
Ojala, Pietikäinen, Harwood (bib7) 1996; 29
A.W. Fitzgibbon, R.B. Fisher, A buyer’s guide to conic fitting, in: Proceedings of the 6th British Conference on Machine Vision (vol. 2), BMVA Press, 1995, pp. 513–522.
Ojala (10.1016/j.dib.2018.12.090_bib7) 1996; 29
Haralick (10.1016/j.dib.2018.12.090_bib6) 1979; 67
10.1016/j.dib.2018.12.090_bib8
10.1016/j.dib.2018.12.090_bib3
Patil (10.1016/j.dib.2018.12.090_bib2) 2009
Swain (10.1016/j.dib.2018.12.090_bib5) 1991; 7
Stehling (10.1016/j.dib.2018.12.090_bib4) 2002
10.1016/j.dib.2018.12.090_bib1
References_xml – volume: 29
  start-page: 51
  year: 1996
  end-page: 59
  ident: bib7
  article-title: A comparative study of texture measures with classification based on featured distributions
  publication-title: Pattern Recognit.
  contributor:
    fullname: Harwood
– start-page: 102
  year: 2002
  end-page: 109
  ident: bib4
  article-title: A compact and efficient image retrieval approach based on border/interior pixel classification
  publication-title: Proc. Conf. Inf. Knowl. Manag.
  contributor:
    fullname: Falcão
– volume: 7
  start-page: 11
  year: 1991
  end-page: 32
  ident: bib5
  article-title: Color indexing
  publication-title: Int. J. Comput. Vision.
  contributor:
    fullname: Ballard
– volume: 67
  start-page: 786
  year: 1979
  end-page: 804
  ident: bib6
  article-title: Statistical and structural approaches to texture
  publication-title: Proc. IEEE
  contributor:
    fullname: Haralick
– start-page: 209
  year: 2009
  end-page: 241
  ident: bib2
  article-title: Tetrazolium test for seed viability and vigour
  publication-title: Handbook of Seed Testing
  contributor:
    fullname: Dadlani
– start-page: 209
  year: 2009
  ident: 10.1016/j.dib.2018.12.090_bib2
  article-title: Tetrazolium test for seed viability and vigour
  contributor:
    fullname: Patil
– ident: 10.1016/j.dib.2018.12.090_bib8
  doi: 10.5244/C.9.51
– volume: 29
  start-page: 51
  issue: 1
  year: 1996
  ident: 10.1016/j.dib.2018.12.090_bib7
  article-title: A comparative study of texture measures with classification based on featured distributions
  publication-title: Pattern Recognit.
  doi: 10.1016/0031-3203(95)00067-4
  contributor:
    fullname: Ojala
– volume: 7
  start-page: 11
  issue: 1
  year: 1991
  ident: 10.1016/j.dib.2018.12.090_bib5
  article-title: Color indexing
  publication-title: Int. J. Comput. Vision.
  doi: 10.1007/BF00130487
  contributor:
    fullname: Swain
– ident: 10.1016/j.dib.2018.12.090_bib1
  doi: 10.1145/2851613.2851637
– ident: 10.1016/j.dib.2018.12.090_bib3
– volume: 67
  start-page: 786
  issue: 5
  year: 1979
  ident: 10.1016/j.dib.2018.12.090_bib6
  article-title: Statistical and structural approaches to texture
  publication-title: Proc. IEEE
  doi: 10.1109/PROC.1979.11328
  contributor:
    fullname: Haralick
– start-page: 102
  year: 2002
  ident: 10.1016/j.dib.2018.12.090_bib4
  article-title: A compact and efficient image retrieval approach based on border/interior pixel classification
  publication-title: Proc. Conf. Inf. Knowl. Manag.
  contributor:
    fullname: Stehling
SSID ssj0001542355
Score 2.2105758
Snippet Agribusiness has a great relevance in the world׳s economy. It generates a considerable impact in the gross national product of several nations. Hence, it is...
SourceID doaj
pubmedcentral
proquest
crossref
pubmed
elsevier
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 103652
SubjectTerms Agricultural and Biological Science
classication
quality control
soybean seed data
tetrazolium test
visual features
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQT70gyjO8ZCQOgBSRxOPXEapWFRKIA5V6s-xkvCxCSdXNHsqvZxwn1S6V4MIpykOJPX7MN_Hnbxh7DTKClF6WwoIuwUtdWvCqFEYZj1h7IdLe4c9f1Nk5fLqQFzupvhInLMsDZ8O9j9HLULU0wYIHxBCkrWTlRWtkBwozNKqanWAq7w8mmDClPKVDUwqKYpYlzYnc1a1DonWZ6Vdgmo93nNKk3b_nm25jzz8plDs-6fQeuzuDSf4hV-KI3cH-Pjuah-uGv5k1pd8-YF-TClXObdWv-Dhwv7qaVTeQh2ue6O8rvhmuA_qeb8il8cQd5Wn3CSeMyEekAvwafq63dE5lfMjOT0--HZ-VczKFspW1HsvadLFuRaej7ZRpPCHDEDDhhWghCKk6qFuUvgXZBFBps7LvrE-CZNFbocQjdtAPPT5hHCpPwx60RorGGm0NItjW6hhNg8HXBXu3WNNdZs0Mt5DJfjgyvUumd3XjyPQF-5jsffNgkrueLlAncHMncP_qBAWDpbXcjBwyIqBXrf_27VdLyzoaVWmpxPc4bDcuBb5SJPhasMe5pW9KSLOiIVgpCqb3-sBeFfbv9Ovvk3K3EspCBU__R52fsUOqis0soufsYLza4gsCSGN4OY2F390QDX8
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Scholars Portal Open Access Journals
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3Ni9UwEA_LevEirp_1iwgeVKi0zSRtDiIqLouw4sEHewuTNnk-WVp97QOff72TNl2tLuKx39NJpvObZuY3jD0B6UFKlKnQUKaAskw1oEpFpSp0LkchQu3w6Qd1soL3Z_LsgM3traIC-0tDu9BParU9f_H92_4VGfzLX7laDYX95Mmq8c-epgj-SkGOMWR4nUa0PxUNE3aQcl7bvOzKhXcaSfwXTupvEPpnLuVvzun4OrsWUSV_PU2DI3bg2hvsKNptz59GculnN9nHQEc1Nblq13zoOK63kX7DcbvnIQ9-zftubx22vCffxkMSKQ9lKJzAIh8cCfCjO9_saJtkvMVWx-8-vT1JY1eFtJZ5OaR51fi8Fk3pdaOqAgkiWusCcPAarJCqgbx2EmuQhQUVqpax0RiYyTxqocRtdth2rbvLOGRI9g9l6SgsK0pdOQe61qX3VeEs5gl7PmvTfJ3IM8ycVfbFkOpNUL3JC0OqT9iboO-LEwPv9bij265NNCPjPUqb1eRuAcE5a6XOZIairmQDymHCYB4tEyHEBA3oVpt_PfvxPLKGzCusmWDrul1vQgQsRcCxCbszjfSFhPR5rAhfioSVizmweIXlkXbzeaTwVkJpyODefzz3PrtKkuopW-gBOxy2O_eQgNBgH43T-yeEXQeU
  priority: 102
  providerName: Scholars Portal
Title Contributing to agriculture by using soybean seed data from the tetrazolium test
URI https://dx.doi.org/10.1016/j.dib.2018.12.090
https://www.ncbi.nlm.nih.gov/pubmed/30788393
https://search.proquest.com/docview/2184530650
https://pubmed.ncbi.nlm.nih.gov/PMC6369404
https://doaj.org/article/ffa5b0c1234a4eebb59050a3c85d46ea
Volume 23
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELbacuGCKM9QWBmJAyClm8Rjxz7CiqpC2tIDlVZcLDuxl6A2qXazh_bXM86jakDiwCVS3pPMWPPZ_uYzIe-Ae-Dc8JgpyGMwPI8VGBEzKaRxLjWMhdrh5Zk4vYCvK77aI3yshelI-4WtjuvLq-O6-tlxK6-vivnIE5ufLxeCCQUJzPfJPqbfe130vjQYEQLn4wxmx-UqKxtYXLIb-VNh9TcMbYnYgE3SUafaP8lKf6POP8mT97LRyWPyaICR9FNv7iHZc_UTcjg01C19P6hJf3hKzoP-VL-qVb2mbUPNejPobThqb2ggvq_ptrmxztR0i8mMBtYoDXUnFNEhbR0acNtcVjvcRxufkYuTL98Xp_GwjEJc8DRv41SWPi1YmXtVCpkZxITWuoAUvALLuCghLRw3BfDMgghlyqZUJkiReaOYYM_JQd3U7iWhkBhs8JDnDvthWa6kc6AKlXsvM2dNGpGP49_U171ahh5pZL80ekEHL-g00-iFiHwO__vuwiB03R1oNms9uFt7b7hNCsyvYMA5a7lKeGJYIXkJwpmIwOgtPWCGHgvgo6p_vfvt6FmN7SlMkpjaNbutDl1ezgJwjciL3tN3Fo5BE5F8EgOTT5iewRDuNLuHkH3133cekYdov-pJQ6_JQbvZuTeIh1o768YRcLsEOSMPzharbz9mXZv4DSONDqA
link.rule.ids 230,314,727,780,784,864,885,2102,24318,27924,27925,53791,53793
linkProvider National Library of Medicine
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6VcoALanmG8jASB0BKN4k9fhyholqgW_XQSr1ZduJsg9qk2s0eyq_HzqNqQOLAMW_bM6P5HH_zGeA9w5IhGoypYiJmBkWsmOExlVwa51JDaagdXhzz-Rn7fo7nW4BjLUxH2s9ttV9fXu3X1UXHrby-ymcjT2x2sjjglCuWsNk9uI9UqPTOJL0vDvYYAXFcw-zYXEVlA49Ldv_-VNj_zTu39OiAThJSp9s_yUt_484_6ZN38tHhDjwagCT53Dd4F7Zc_Rh2h1Bdkw-DnvTHJ3ASFKj6fa3qJWkbYparQXHDEXtDAvV9SdbNjXWmJmufzkjgjZJQeUI8PiSt8w341VxWG3_s2_gUzg6_nh7M42EjhTjHVLRxKosyzWkhSlVwmRmPCq11ASuUilmKvGBp7tDkDDPLeChUNoUyQYysNIpy-gy266Z2L4CwxPiQZ0I4PxPLhJLOMZUrUZYyc9akEXwaR1Nf93oZeiSS_dTeCjpYQaeZ9laI4EsY79sbg9R1d6JZLfVgcF2WBm2S-wzLDHPOWlQJJobmEgvGnYmAjdbSA2ro0YB_VfWvb78bLat9RIVlElO7ZrPWYdKLNEDXCJ73lr5t4eg0EYiJD0y6ML3inbhT7R6c9uV_P_kWHsxPF0f66Nvxjz146PuiegrRK9huVxv32qOj1r7pYuE3UvsOcQ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELagSIgLorwankbiAEjpJvErPkJhVR6t9kCl3qxxYi9BbbLazR7Kr2ecR7UBiQPHvMeeGc3n-JsZQl5z4bkQIGKmuYo5CBVrDjJmuczBuRQYC7nDJ6fy-Ix_ORfnO62-OtJ-YavD-uLysK5-dNzK1WUxG3lis8XJkWRS84TPVqWf3SS3BEMj21mo9wnCiBOEGPcxO0ZXWdnA5cq7_3869IBDA88RIbBJUOpq909i09_Y808K5U5Mmt8jdwcwSd_3Qu-TG66-T_YHd93QN0NN6bcPyCJUoep7W9VL2jYUluuh6oaj9ooG-vuSbpor66CmGwxpNHBHacg-oYgRaetQgF_NRbXFY5TxITmbf_p-dBwPzRTiQqSqjdO89GnBSuV1KfMMEBla6wJe8JpbJmTJ08IJKLjILJchWRlKDaEgmQfNJHtE9uqmdgeE8gTQ7blSDldjmdK5c1wXWnmfZ85CGpF342yaVV8zw4xksp8GtWCCFkyaGdRCRD6E-b6-MZS77k4066UZlG68B2GTAqMsB-6ctUInIgFW5KLk0kFE-KgtMyCHHhHgq6p_ffvVqFmDXhW2SqB2zXZjwsJXsABfI_K41_S1hKPRRERNbGAyhOkVNOSucvdguE_--8mX5Pbi49x8-3z69Sm5g0PRPYvoGdlr11v3HAFSa190rvAbLYoPhA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Contributing+to+agriculture+by+using+soybean+seed+data+from+the+tetrazolium+test&rft.jtitle=Data+in+brief&rft.au=Pereira%2C+Douglas+F&rft.au=Bugatti%2C+Pedro+H&rft.au=Lopes%2C+Fabricio+M&rft.au=Souza%2C+Andr%C3%A9+L+S+M&rft.date=2019-04-01&rft.eissn=2352-3409&rft.volume=23&rft.spage=103652&rft.epage=103652&rft_id=info:doi/10.1016%2Fj.dib.2018.12.090&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-3409&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-3409&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-3409&client=summon