Evaluation of smart spray technology for postemergence herbicide application in row middles of plasticulture production
Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and herbicides are applied to weeds and to where weeds do not occur. To reduce the incidence of off-targeted applications, the University of Flor...
Saved in:
Published in | Weed technology Vol. 37; no. 4; pp. 336 - 342 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, USA
Cambridge University Press
01.08.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and herbicides are applied to weeds and to where weeds do not occur. To reduce the incidence of off-targeted applications, the University of Florida developed a smart-spray technology for row middles in plasticulture systems. The technology detects weed according to categories and applies herbicides only where the weeds occur. Field experiments were conducted at the Gulf Coast Research and Education Center in Balm, FL, in fall 2021 and spring 2022. The objective was to evaluate the efficacy of postemergence applications of diquat and glyphosate in row middles in jalapeno pepper fields when banded or applied with smart-spray technology. The overall precision of the weed detection model was 0.92 and 0.89 for fall and spring, respectively. The actuation precision achieved was 0.86 and 1 for fall and spring, respectively. No significant differences were observed between banded and targeted applications either with glyphosate or diquat in terms of broadleaf, grass, and nutsedge weed density. No significant pepper damage was observed with either herbicide or application technique. The smart-spray technology reduced herbicide application volume by 26% and 42% in fall and spring, respectively, with no reduction in weed control or pepper yield compared to a banded application. Overall, the smart-spray technology reduced the herbicide volume applied with no reductions in weed control and no significant effects on crop yield. Nomenclature: Diquat; glyphosate; jalapeno pepper; Capsicum annuum L. |
---|---|
AbstractList | Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and herbicides are applied to weeds and to where weeds do not occur. To reduce the incidence of off-targeted applications, the University of Florida developed a smart-spray technology for row middles in plasticulture systems. The technology detects weed according to categories and applies herbicides only where the weeds occur. Field experiments were conducted at the Gulf Coast Research and Education Center in Balm, FL, in fall 2021 and spring 2022. The objective was to evaluate the efficacy of postemergence applications of diquat and glyphosate in row middles in jalapeno pepper fields when banded or applied with smart-spray technology. The overall precision of the weed detection model was 0.92 and 0.89 for fall and spring, respectively. The actuation precision achieved was 0.86 and 1 for fall and spring, respectively. No significant differences were observed between banded and targeted applications either with glyphosate or diquat in terms of broadleaf, grass, and nutsedge weed density. No significant pepper damage was observed with either herbicide or application technique. The smart-spray technology reduced herbicide application volume by 26% and 42% in fall and spring, respectively, with no reduction in weed control or pepper yield compared to a banded application. Overall, the smart-spray technology reduced the herbicide volume applied with no reductions in weed control and no significant effects on crop yield. Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and herbicides are applied to weeds and to where weeds do not occur. To reduce the incidence of off-targeted applications, the University of Florida developed a smart-spray technology for row middles in plasticulture systems. The technology detects weed according to categories and applies herbicides only where the weeds occur. Field experiments were conducted at the Gulf Coast Research and Education Center in Balm, FL, in fall 2021 and spring 2022. The objective was to evaluate the efficacy of postemergence applications of diquat and glyphosate in row middles in jalapeno pepper fields when banded or applied with smart-spray technology. The overall precision of the weed detection model was 0.92 and 0.89 for fall and spring, respectively. The actuation precision achieved was 0.86 and 1 for fall and spring, respectively. No significant differences were observed between banded and targeted applications either with glyphosate or diquat in terms of broadleaf, grass, and nutsedge weed density. No significant pepper damage was observed with either herbicide or application technique. The smart-spray technology reduced herbicide application volume by 26% and 42% in fall and spring, respectively, with no reduction in weed control or pepper yield compared to a banded application. Overall, the smart-spray technology reduced the herbicide volume applied with no reductions in weed control and no significant effects on crop yield. Nomenclature: Diquat; glyphosate; jalapeno pepper; Capsicum annuum L. Abstract Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and herbicides are applied to weeds and to where weeds do not occur. To reduce the incidence of off-targeted applications, the University of Florida developed a smart-spray technology for row middles in plasticulture systems. The technology detects weed according to categories and applies herbicides only where the weeds occur. Field experiments were conducted at the Gulf Coast Research and Education Center in Balm, FL, in fall 2021 and spring 2022. The objective was to evaluate the efficacy of postemergence applications of diquat and glyphosate in row middles in jalapeno pepper fields when banded or applied with smart-spray technology. The overall precision of the weed detection model was 0.92 and 0.89 for fall and spring, respectively. The actuation precision achieved was 0.86 and 1 for fall and spring, respectively. No significant differences were observed between banded and targeted applications either with glyphosate or diquat in terms of broadleaf, grass, and nutsedge weed density. No significant pepper damage was observed with either herbicide or application technique. The smart-spray technology reduced herbicide application volume by 26% and 42% in fall and spring, respectively, with no reduction in weed control or pepper yield compared to a banded application. Overall, the smart-spray technology reduced the herbicide volume applied with no reductions in weed control and no significant effects on crop yield. |
Author | Boyd, Nathan S. Schumann, Arnold Buzanini, Ana C. |
Author_xml | – sequence: 1 givenname: Ana C. orcidid: 0000-0002-7584-4131 surname: Buzanini fullname: Buzanini, Ana C. organization: Postdoctoral Research Associate, University of Florida, Gulf Coast Research and Education Center, Wimauma, FL, USA – sequence: 2 givenname: Arnold orcidid: 0000-0002-4354-1734 surname: Schumann fullname: Schumann, Arnold organization: Professor, University of Florida, Citrus Research and Education Center, Lake Alfred, FL, USA – sequence: 3 givenname: Nathan S. orcidid: 0000-0002-1334-3964 surname: Boyd fullname: Boyd, Nathan S. organization: Professor, University of Florida, Gulf Coast Research and Education Center, Wimauma, FL, USA |
BookMark | eNp9kE9LwzAchoNMcJue_AIBTyKdSZq2yVHG_AMDLwreSpP8umV0TU1Sx769LfXs6b08PC88CzRrXQsI3VKyooQWjyeIK0ZYuuL8As1plpGEFZzM0JwISRKSFl9XaBHCgRCaM0bm6LT5qZq-ita12NU4HCsfceh8dcYR9L51jdudce087lyIcAS_g1YD3oNXVlsDuOq6xurJYFvs3QkfrTENhFHYNVWIVvdN7D3gzjvT6xG9Rpd11QS4-dsl-nzefKxfk-37y9v6aZsolqUxEQJyw4TiXFNac6ULnadUGlFTYwowWlFJZSGZEVxQJrmSFc8VAyFTRZhKl-hu8g7X3z2EWB5c79vhsmSSEFakWSEG6mGitHcheKjLztshxbmkpBzLlkPZcixbcj7Q9xOtrBv6_8v-AqDqfho |
Cites_doi | 10.1023/A:1008627419450 10.1016/j.compag.2018.01.009 10.1109/ICRoM.2013.6510152 10.1016/j.compag.2018.12.048 10.1007/s00425-006-0364-3 10.1007/s11119-019-09666-6 10.1614/WT-03-086R2 10.1038/s41598-020-66505-9 10.1017/wet.2020.20 10.1614/WT-D-16-00070.1 10.3390/su9081339 10.3390/agriengineering2030032 10.1016/j.ipm.2009.03.002 10.1016/S1044-0305(98)00043-9 10.1017/wet.2019.6 10.1590/1808-1657000972017 10.1016/j.envres.2016.01.003 10.1109/CVPR.2016.91 10.3390/rs12244091 10.3390/s20247262 |
ContentType | Journal Article |
Copyright | The Author(s), 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America |
Copyright_xml | – notice: The Author(s), 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America |
DBID | AAYXX CITATION 3V. 7X2 7XB 8FE 8FH 8FK 8G5 ABUWG AFKRA ATCPS AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ GUQSH HCIFZ LK8 M0K M2O M7P MBDVC PADUT PQEST PQQKQ PQUKI Q9U |
DOI | 10.1017/wet.2023.44 |
DatabaseName | CrossRef ProQuest Central (Corporate) Agricultural Science Collection ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni Edition) ProQuest Central (Alumni) ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection AUTh Library subscriptions: ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central ProQuest Central Student Research Library Prep SciTech Premium Collection Biological Sciences Agriculture Science Database Research Library Biological Science Database Research Library (Corporate) Research Library China ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central Basic |
DatabaseTitle | CrossRef Agricultural Science Database Research Library Prep ProQuest Central Student ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Central Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection Biological Science Collection ProQuest Research Library Research Library China ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition Agricultural Science Collection Biological Science Database ProQuest SciTech Collection ProQuest One Academic UKI Edition ProQuest One Academic ProQuest Central (Alumni) |
DatabaseTitleList | Agricultural Science Database CrossRef |
Database_xml | – sequence: 1 dbid: BENPR name: AUTh Library subscriptions: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Agriculture |
EISSN | 1550-2740 |
EndPage | 342 |
ExternalDocumentID | 10_1017_wet_2023_44 10.1017/wet.2023.44 |
GeographicLocations | St Louis Missouri Florida United States--US |
GeographicLocations_xml | – name: St Louis Missouri – name: Florida – name: United States--US |
GroupedDBID | -JH 09C 09E 0R~ 123 8G5 AAAZR AABES AABWE AACFU AAEED AAGFV AAHKG AAKTX AASVR AAUKB AAXTN ABJNI ABKMT ABPLY ABQTM ABROB ABTLG ABZCX ACCHT ACGFS ACPRK ACQFJ ACUIJ ACUYZ ACWGA ACYZP ADBBV ADDNB ADGEJ ADHSS ADKIL ADOCW ADOYD ADVJH AEBAK AEDJY AEEJZ AENEX AEPYG AEYYC AFAZZ AFKQG AFLVW AFNWH AFRAH AFRIC AGABE AGJUD AGOOT AHQXX AHRGI AIGNW AIHIV AIOIP AJCYY AJPFC AKPMI ALMA_UNASSIGNED_HOLDINGS AQJOH ATCPS ATUCA AUXHV BBLKV BBNVY BENPR BHPHI BLZWO BMAJL CBIIA CFAFE CJCSC CS3 DOHLZ EBS HCIFZ HZ~ IH6 IOEEP IPYYG IS6 JBS JENOY JHPGK JLS JQKCU KCGVB KFECR LW7 M0K M2O M7P NIKVX NVHAQ O9- P2P PQ0 RBO RCA ROL S6U SAAAG SJN T9M TN5 UT1 WFFJZ WH7 Y6R ZMEZD ZYDXJ ~02 ~EF ~KM 29R 2AX 2~F 3V. 7X2 8FE 8FH AAHBH AAPSS AAYXX ABBHK ABBZL ABUWG ABVZP ABXAU ABXSQ ADACV ADOVH ADOVT ADULT AEHGV AENCP AEUPB AFFIJ AFKRA AGUYK AICQM AKZCZ ANHSF AQVQM ARZZG AS~ AYIQA AZQEC BCGOX BESQT BJBOZ BPHCQ CAG CBGCD CCPQU CCQAD CCUQV CFBFF CGQII CHEAL CITATION COF CTKSN DATOO DC7 DOOOF DWQXO EGQIC EJD EQZMY GNUQQ GTFYD GUQSH H13 HGD HTVGU IL9 IOO IPSME JAAYA JBMMH JHFFW JKQEH JLXEF JPM JSODD JST KAFGG LHUNA LK8 NEJ NHB NZEOI OVD PADUT PQQKQ PROAC Q5J SA0 TEORI ZDLDU ZJOSE 7XB 8FK MBDVC PQEST PQUKI Q9U |
ID | FETCH-LOGICAL-b253t-88e6d28b44c11f4bc7c6319d8f1dd7edcb1919792d8481294b9a46b2e893b02b3 |
IEDL.DBID | BENPR |
ISSN | 0890-037X |
IngestDate | Thu Oct 10 21:06:15 EDT 2024 Thu Sep 26 18:04:46 EDT 2024 Wed Jan 10 05:16:14 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 4 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-b253t-88e6d28b44c11f4bc7c6319d8f1dd7edcb1919792d8481294b9a46b2e893b02b3 |
ORCID | 0000-0002-7584-4131 0000-0002-4354-1734 0000-0002-1334-3964 |
PQID | 2900273578 |
PQPubID | 506325 |
PageCount | 7 |
ParticipantIDs | proquest_journals_2900273578 crossref_primary_10_1017_wet_2023_44 bioone_primary_10_1017_wet_2023_44 |
PublicationCentury | 2000 |
PublicationDate | 2023-08-01 |
PublicationDateYYYYMMDD | 2023-08-01 |
PublicationDate_xml | – month: 08 year: 2023 text: 2023-08-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | New York, USA |
PublicationPlace_xml | – name: New York, USA – name: Lawrence |
PublicationTitle | Weed technology |
PublicationTitleAbbrev | Weed Technol |
PublicationYear | 2023 |
Publisher | Cambridge University Press |
Publisher_xml | – name: Cambridge University Press |
References | S0890037X23000441_ref5 S0890037X23000441_ref19 S0890037X23000441_ref4 S0890037X23000441_ref7 S0890037X23000441_ref6 S0890037X23000441_ref16 S0890037X23000441_ref9 S0890037X23000441_ref8 S0890037X23000441_ref15 S0890037X23000441_ref18 S0890037X23000441_ref17 Farooque (S0890037X23000441_ref3) 2022; 3 S0890037X23000441_ref1 S0890037X23000441_ref2 Lopez (S0890037X23000441_ref10) 2021; 72 S0890037X23000441_ref23 S0890037X23000441_ref12 S0890037X23000441_ref11 S0890037X23000441_ref22 S0890037X23000441_ref14 S0890037X23000441_ref13 S0890037X23000441_ref24 S0890037X23000441_ref21 S0890037X23000441_ref20 |
References_xml | – ident: S0890037X23000441_ref2 doi: 10.1023/A:1008627419450 – ident: S0890037X23000441_ref5 doi: 10.1016/j.compag.2018.01.009 – volume: 3 start-page: 2772 year: 2022 ident: S0890037X23000441_ref3 article-title: Field evaluation of a deep learning-based smart variable-rate sprayer for targeted application of agrochemical publication-title: Smart Agric Technol contributor: fullname: Farooque – ident: S0890037X23000441_ref9 doi: 10.1109/ICRoM.2013.6510152 – ident: S0890037X23000441_ref13 doi: 10.1016/j.compag.2018.12.048 – ident: S0890037X23000441_ref23 doi: 10.1007/s00425-006-0364-3 – ident: S0890037X23000441_ref19 doi: 10.1007/s11119-019-09666-6 – ident: S0890037X23000441_ref7 doi: 10.1614/WT-03-086R2 – ident: S0890037X23000441_ref18 doi: 10.1038/s41598-020-66505-9 – ident: S0890037X23000441_ref24 doi: 10.1017/wet.2020.20 – ident: S0890037X23000441_ref4 doi: 10.1614/WT-D-16-00070.1 – ident: S0890037X23000441_ref1 doi: 10.3390/su9081339 – volume: 72 start-page: 1 year: 2021 ident: S0890037X23000441_ref10 article-title: Weeds as hosts of plant parasitic nematodes in subtropical agri-culture systems publication-title: Subtropical Agric Environ contributor: fullname: Lopez – ident: S0890037X23000441_ref22 – ident: S0890037X23000441_ref14 – ident: S0890037X23000441_ref12 doi: 10.3390/agriengineering2030032 – ident: S0890037X23000441_ref20 doi: 10.1016/j.ipm.2009.03.002 – ident: S0890037X23000441_ref21 doi: 10.1016/S1044-0305(98)00043-9 – ident: S0890037X23000441_ref17 doi: 10.1017/wet.2019.6 – ident: S0890037X23000441_ref11 doi: 10.1590/1808-1657000972017 – ident: S0890037X23000441_ref6 doi: 10.1016/j.envres.2016.01.003 – ident: S0890037X23000441_ref15 doi: 10.1109/CVPR.2016.91 – ident: S0890037X23000441_ref8 doi: 10.3390/rs12244091 – ident: S0890037X23000441_ref16 doi: 10.3390/s20247262 |
SSID | ssj0016220 |
Score | 2.3813577 |
Snippet | Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically banded, and... Abstract Postemergence herbicides used to control weeds in the space between raised, plastic-covered beds in plasticulture production systems are typically... |
SourceID | proquest crossref bioone |
SourceType | Aggregation Database Publisher |
StartPage | 336 |
SubjectTerms | Actuation Beds (process engineering) Crop yield Deep learning Diquat Field tests Glyphosate Herbicide volume Herbicides Linux Neural networks off-target application Peppers Rain smart spray technology targeted Temperature Vision systems Weed control Weeds |
Title | Evaluation of smart spray technology for postemergence herbicide application in row middles of plasticulture production |
URI | http://www.bioone.org/doi/abs/10.1017/wet.2023.44 https://www.proquest.com/docview/2900273578 |
Volume | 37 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NS8MwFA-6XfQgfuJ0ShCv1TZ9bdKTTNkYgkPEwW6laRLpYWtdJ8P_3pc1m3rZOSGH917e9_s9Qm7zAJTOfO1lALbMqIwnNc89EYEywCPtx3be-WUUD8fwPIkmLuFWu7bKtU5cKWpV5jZHfs-SFfQKCthD9enZrVG2uupWaOySNrORQou0H_uj17dNHSFmDTCjSHzPD_nETehZ0Oiltq2ULLwDQOsji7Kc6f_G6b9uXhmcwSE5cJ4i7TWsPSI7enZM9nsfc4eWoU_Isr_B6qalofUU5YDW1Tz7potNypyiW0orO8vhJi01RT7JIi-Upn_q17SYUYzJ6XSVsqjtgxW61mtwDk2rBhwWr56S8aD__jT03CYFT7IoXHhC6FgxIQHyIDAgc57H-PeUMIFSXKtcYtiW8IQpi67PEpBJBrFkGr0Z6TMZnpHWDOlzTigXaFVNlIQQcjAG_RcZMgnMCCH9jIsOuWlomVYNXEba9JHxFAmeWoKnAB0UEkfn7de6ax6k7mvV6a8gXGw_viR79p2mW69LWov5l75CD2Ihr52Y_ACwxsiP |
link.rule.ids | 315,783,787,21401,27937,27938,33757,43818,74637 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV07T8MwELagDMCAeIrytBBrIHUusTOhgorKq0IIpG5RHNsoQ9PQFCH-PefELbB0tuXhfL77fI_vCDnPOqB06msvBbBpRmU8qXnmiRCUAR5qP7L9zk-DqP8G98Nw6AJulSurnNnE2lCrcWZj5JcsrqlXUMGuyg_PTo2y2VU3QmOZrFiqKtEiK9e9wfPLPI8QsYaYUcS-5wd86Dr0LGn0l7allCy4AEDvI_PxuND_ndN_21w7nNtNsuGQIu02V7tFlnSxTda77xPHlqF3yFdvztVNx4ZWI9QDWpWT9JtO5yFzirCUlraXw3Vaaor3JPMsV5r-yV_TvKD4J6ejOmRR2QNLhNYzcg5Ny4YcFrfukrfb3utN33OTFDzJwmDqCaEjxYQEyDodAzLjWYRvTwnTUYprlUn8tsU8Zsqy67MYZJxCJJlGNCN9JoM90ipQPvuEcoFe1YRxAAEHYxC_yIBJYEYI6adctMlZI8ukbOgykqaOjCco8MQKPAFoo5I4OS_edjS7g8Q9rSr5VYSDxcunZLX_-vSYPN4NHg7Jmj2zqdw7Iq3p5FMfI5qYyhOnMj9bMcuJ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV07T8MwELZ4SAgGxFMUCliINZA6l9iZUIFWPCuEQOoWxbGNMrQNTRDi33NO3AILsy0Pd-d733eEnGYdUDr1tZcC2DKjMp7UPPNECMoAD7Uf2Xnnx0F08wp3w3Do-p9K11Y504m1olaTzObIz1lcQ6-ggJ0b1xbxdN2_KN49u0HKVlrdOo1FsswhCjAQW77sDZ6e5zWFiDUgjSL2PT_gQzetZwGkP7Vtq2TBGQBaIplPJmP911D91dO18elvkHXnNdJuw-ZNsqDHW2St-zZ1yBl6m3z25rjddGJoOUKZoGUxTb9oNU-fU3RRaWHnOtzUpabIM5lnudL0Vy2b5mOK8Tkd1emL0j5YoJs9A-rQtGiAYvHqDnnt916ubjy3VcGTLAwqTwgdKSYkQNbpGJAZzyL8h0qYjlJcq0xiCBfzmCmLtM9ikHEKkWQaPRvpMxnskqUx0mePUC7QwpowDiDgYAz6MjJgEpgRQvopFy1y0tAyKRrojKTpKeMJEjyxBE8AWigwjs7_X2vPeJC4b1YmP0Kx___xMVlBaUkebgf3B2TVPtk08bXJUjX90IfoWFTyyEnMN53qz70 |
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=Evaluation+of+smart+spray+technology+for+postemergence+herbicide+application+in+row+middles+of+plasticulture+production&rft.jtitle=Weed+technology&rft.au=Buzanini%2C+Ana+C.&rft.au=Schumann%2C+Arnold&rft.au=Boyd%2C+Nathan+S.&rft.date=2023-08-01&rft.issn=0890-037X&rft.eissn=1550-2740&rft.volume=37&rft.issue=4&rft.spage=336&rft.epage=342&rft_id=info:doi/10.1017%2Fwet.2023.44&rft.externalDBID=n%2Fa&rft.externalDocID=10_1017_wet_2023_44 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0890-037X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0890-037X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0890-037X&client=summon |