Loading…
RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm
This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science. Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process. F...
Saved in:
Published in: | Acta agriculturae Scandinavica. Section B, Soil and plant science Soil and plant science, 2022-12, Vol.72 (1), p.30-42 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 42 |
container_issue | 1 |
container_start_page | 30 |
container_title | Acta agriculturae Scandinavica. Section B, Soil and plant science |
container_volume | 72 |
creator | Yi, Wenzhou |
description | This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science.
Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process.
Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled "
Envisage Computer Modelling and Statistics for Agriculture", guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.
As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.
The journal has not confirmed if the authors were aware of this compromised peer review process.
The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.
We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines. |
doi_str_mv | 10.1080/09064710.2021.1990386 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_09064710_2021_1990386</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2755372857</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1786-709f93a687e21243b7ae740ddae384f3aedd3a3d928455aede19bd4760e4e903</originalsourceid><addsrcrecordid>eNp9kEFLw0AQhRdRsFZ_grDgObqbTbKJJ0tstVAQSu7LNDupKUm2zqaU_nsTWq_OZRj43puZx9ijFM9SpOJFZCKJ9DCFIpTPMsuESpMrNpFJLAOZSXXNJiMTjNAtu_N-J4ZSqZowu54X61lezN_5bF0s89X8lS8cYQm-567isKW6PDT9gaDhR-iROKF3ByrRc4stdJZvwKPlruN7oL4uG-T-CNRyaLaO6v67vWc3FTQeHy59yorFvMg_g9XXxzKfrYJS6jQJtMiqTEGSagxlGKmNBtSRsBZQpVGlAK1VoGwWplEcDxPKbGMjnQiMcHh6yp7OtntyPwf0vdkNh3bDRhPqOFY6TGM9UPGZKsl5T1iZPdUt0MlIYcY8zV-eZszTXPIcdG9nXd1Vjlo4Omqs6eHUOKoIurL2Rv1v8Qu9Snuf</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2755372857</pqid></control><display><type>article</type><title>RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm</title><source>Taylor & Francis</source><creator>Yi, Wenzhou</creator><creatorcontrib>Yi, Wenzhou</creatorcontrib><description>This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science.
Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process.
Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled "
Envisage Computer Modelling and Statistics for Agriculture", guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.
As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.
The journal has not confirmed if the authors were aware of this compromised peer review process.
The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.
We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines.</description><identifier>ISSN: 0906-4710</identifier><identifier>EISSN: 1651-1913</identifier><identifier>DOI: 10.1080/09064710.2021.1990386</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Agricultural resources ; Algorithms ; Decision making ; Mathematical models ; Water demand ; Water management ; Water resources ; Water resources management</subject><ispartof>Acta agriculturae Scandinavica. Section B, Soil and plant science, 2022-12, Vol.72 (1), p.30-42</ispartof><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2021</rights><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/09064710.2021.1990386$$EPDF$$P50$$Ginformaworld$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/09064710.2021.1990386$$EHTML$$P50$$Ginformaworld$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27502,27924,27925,59143,59144</link.rule.ids></links><search><creatorcontrib>Yi, Wenzhou</creatorcontrib><title>RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm</title><title>Acta agriculturae Scandinavica. Section B, Soil and plant science</title><description>This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science.
Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process.
Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled "
Envisage Computer Modelling and Statistics for Agriculture", guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.
As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.
The journal has not confirmed if the authors were aware of this compromised peer review process.
The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.
We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines.</description><subject>Agricultural resources</subject><subject>Algorithms</subject><subject>Decision making</subject><subject>Mathematical models</subject><subject>Water demand</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><issn>0906-4710</issn><issn>1651-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><recordid>eNp9kEFLw0AQhRdRsFZ_grDgObqbTbKJJ0tstVAQSu7LNDupKUm2zqaU_nsTWq_OZRj43puZx9ijFM9SpOJFZCKJ9DCFIpTPMsuESpMrNpFJLAOZSXXNJiMTjNAtu_N-J4ZSqZowu54X61lezN_5bF0s89X8lS8cYQm-567isKW6PDT9gaDhR-iROKF3ByrRc4stdJZvwKPlruN7oL4uG-T-CNRyaLaO6v67vWc3FTQeHy59yorFvMg_g9XXxzKfrYJS6jQJtMiqTEGSagxlGKmNBtSRsBZQpVGlAK1VoGwWplEcDxPKbGMjnQiMcHh6yp7OtntyPwf0vdkNh3bDRhPqOFY6TGM9UPGZKsl5T1iZPdUt0MlIYcY8zV-eZszTXPIcdG9nXd1Vjlo4Omqs6eHUOKoIurL2Rv1v8Qu9Snuf</recordid><startdate>20221231</startdate><enddate>20221231</enddate><creator>Yi, Wenzhou</creator><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20221231</creationdate><title>RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm</title><author>Yi, Wenzhou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1786-709f93a687e21243b7ae740ddae384f3aedd3a3d928455aede19bd4760e4e903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural resources</topic><topic>Algorithms</topic><topic>Decision making</topic><topic>Mathematical models</topic><topic>Water demand</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yi, Wenzhou</creatorcontrib><collection>Taylor & Francis</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Acta agriculturae Scandinavica. Section B, Soil and plant science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yi, Wenzhou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm</atitle><jtitle>Acta agriculturae Scandinavica. Section B, Soil and plant science</jtitle><date>2022-12-31</date><risdate>2022</risdate><volume>72</volume><issue>1</issue><spage>30</spage><epage>42</epage><pages>30-42</pages><issn>0906-4710</issn><eissn>1651-1913</eissn><abstract>This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science.
Following publication, concerns were raised by multiple third-parties around the content of the special issue and the decision-making process.
Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled "
Envisage Computer Modelling and Statistics for Agriculture", guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.
As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.
The journal has not confirmed if the authors were aware of this compromised peer review process.
The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.
We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/09064710.2021.1990386</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0906-4710 |
ispartof | Acta agriculturae Scandinavica. Section B, Soil and plant science, 2022-12, Vol.72 (1), p.30-42 |
issn | 0906-4710 1651-1913 |
language | eng |
recordid | cdi_crossref_primary_10_1080_09064710_2021_1990386 |
source | Taylor & Francis |
subjects | Agricultural resources Algorithms Decision making Mathematical models Water demand Water management Water resources Water resources management |
title | RETRACTED ARTICLE: Forecast of agricultural water resources demand based on particle swarm algorithm |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A28%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=RETRACTED%20ARTICLE:%20Forecast%20of%20agricultural%20water%20resources%20demand%20based%20on%20particle%20swarm%20algorithm&rft.jtitle=Acta%20agriculturae%20Scandinavica.%20Section%20B,%20Soil%20and%20plant%20science&rft.au=Yi,%20Wenzhou&rft.date=2022-12-31&rft.volume=72&rft.issue=1&rft.spage=30&rft.epage=42&rft.pages=30-42&rft.issn=0906-4710&rft.eissn=1651-1913&rft_id=info:doi/10.1080/09064710.2021.1990386&rft_dat=%3Cproquest_cross%3E2755372857%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1786-709f93a687e21243b7ae740ddae384f3aedd3a3d928455aede19bd4760e4e903%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2755372857&rft_id=info:pmid/&rfr_iscdi=true |