We, the Editor and Publisher of the journal Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, have retracted the following articles, which were published in the Special Issue titled “Envisage Computer Modelling and Statistics for Agriculture”, guest edited by Gunasekaran Manogaran:
• Dexian Zhang, Cong Cheng & Miao Zhang (2021) A detection method for granary storage states based on a support vector machine and domain knowledge, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:1, 45–51, DOI: 10.1080/09064710.2020.1849381
• ChunYi Lin (2021) An empirical study on decision factors affecting fresh e-commerce purchasing geographical indications agricultural products, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 541–551, DOI: 10.1080/09064710.2020.1834610
• Kevin Gordillo Orjuela, Paulo Alonso Gaona-García & Carlos Enrique Montenegro Marin (2021) Towards an agriculture solution for product supply chain using blockchain: case study Agro-chain with BigchainDB, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:1, 1–16, DOI: 10.1080/09064710.2020.1840618
• Zhiwu Dou, Mingxin Ji, Man Wang & Haibo Li (2021) Empirical analysis of Pu'er tea price bubble measurement based on GSADF method, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:2, 81–90, DOI: 10.1080/09064710.2020.1845789
• Zhiwu Dou, Mingxin Ji, Yanan Shao & Man Wang (2021) Research on the price impact mechanism of Pu'er tea under Internet + environment, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:1, 17–27, DOI: 10.1080/09064710.2020.1840619
• María Camila Guerrero-Giraldo, Miguel Angel Vega-Alonso, Paulo Alonso Gaona-García & Carlos Enrique Montenegro-Marin (2021) Model based on PDP System to simulate the forced displacement phenomenon in the Pacific Alliance, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 575–588, DOI: 10.1080/09064710.2021.1890200
• Tian Wu, Haiqing Hu & Zheng Li (2021) The evolution of venture capital network structure and its effects in promoting the development of agricultural technology enterprises – a comparison between USA and China, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:1, 52–67, DOI: 10.1080/09064710.2020.1849382
• Changhong Liu, Cuiping Yang, Qi Yang, Jiao Wang & Yungen Liu (2021) Effect of divalent metals on phytase activity and enzymatic kinetics of As-hyperaccumulation ferns, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:2, 112–123, DOI: 10.1080/09064710.2020.1856917
• Melek Akdoğan Gedik & Tuğay Günel (2021) The impact of climate change on edible food production: a panel data analysis, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:5, 318–323, DOI: 10.1080/09064710.2021.1897155
• S. Nithiya & K. Annapurani (2021) Optimised fertiliser suggestion in smart agriculture system based on fuzzy inference rule, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:3, 191–201, DOI: 10.1080/09064710.2021.1872695
• Kahaer Abula & Buwajian Abula (2021) An analysis of gravity model based on the impact of China’s agricultural exports – a case study of western and Central Asia along the economic corridor, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:6, 432–442, DOI: 10.1080/09064710.2021.1910725
• Kundan Meshram, Nitu Singh & P. K. Jain (2021) Estimation of swelling characteristics of expansive soils with influence of clay mineralogy, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:3, 202–207, DOI: 10.1080/09064710.2021.1872696
• V. Malathi & M. P. Gopinath (2021) Classification of pest detection in paddy crop based on transfer learning approach, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 552–559, DOI: 10.1080/09064710.2021.1874045
• Yankun Yang (2021) The application of big data in the analysis of factors affecting agricultural business and product marketing in the intelligent agricultural platform, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 589–603, DOI: 10.1080/09064710.2021.1890201
• Benjun Hou, Weiguo Li, Xinsheng Gao, Xiaofei Zhang, Suping Feng & Yaoting Wu (2021) Construction and integration of genetic map and quantitative trait locus (QTL) mapping of yield-related traits, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 560–574, DOI: 10.1080/09064710.2021.1884743
• Abuduaini Abudureheman & Aishanjiang Nilupaer (2021) Research on consumer trust measurement model for agricultural products e-commerce based on D-S evidence theory, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:4, 273–283, DOI: 10.1080/09064710.2021.1880622
• Jia Baoyu, Yu Zhaoji & Zhao Yingzi (2021) Design of online service reputation system for agricultural products sales platform based on P2P network, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:4, 284–294, DOI: 10.1080/09064710.2021.1880623
• Dong Zhijing (2021) Coordination between rural supermarket chains and farmers’ consumption behaviour – based on AHP evaluation model, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:4, 295–302, DOI: 10.1080/09064710.2021.1880624
• Peng Fan, Yifeng Wang & Nan Xu (2021) Value added mechanism and organisational model optimisation of agricultural products circulation value chain from the perspective of game theory, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:3, 215–223, DOI: 10.1080/09064710.2021.1879927
• Wang Juan & Tao Yadong (2021) Reverse integration and optimisation of agricultural products E-commerce omnichannel supply chain under Internet technology, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 604–612, DOI: 10.1080/09064710.2021.1890202
• Wang Wei (2021) The path of improving the value chain flow of agricultural products industry under the effect of technology agglomeration, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:7, 613–619, DOI: 10.1080/09064710.2021.1890203
• Wei Wenji (2021) Study on inventions of fresh food in commercial aspects using e-commerce over internet, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:4, 303–310, DOI: 10.1080/09064710.2021.1880625
• Guoqiang Wang, Yaoming Li & Zheng Ma (2021) Analysis of the process of reel harvesting lodging crops based on intelligent image processing, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:6, 507–518, DOI: 10.1080/09064710.2021.1928273
• Yiru Wang, Jie Lyu & Di Chen (2022) Performance assessment of peanut production in China, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 176–188, DOI: 10.1080/09064710.2021.2000632
• Xuetao Liu (2021) Empirical study on B2C e-commerce logistics network optimisation of agricultural products, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:5, 346–362, DOI: 10.1080/09064710.2021.1897662
• Kun Zhang, Yuanjun Liu, Lu Luo, Xiurong Zhang, Guanghui Li, Yongshan Wan & Fengzhen Liu (2021) Root traits of peanut cultivars with different drought resistant under drought stress at flowering and pegging phase, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:5, 363–376, DOI: 10.1080/09064710.2021.1897663
• Xihua Zhang & Qiaoyan Cai (2021) Research on the construction and optimisation of agricultural product circulation standard system under the internet background, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 1006–1016, DOI: 10.1080/09064710.2021.1906941
• Te Xu, Kangning He, Hui Wang, Weilu Wang & Tan Zhang (2021) Effects of saline-alkali stress on seed germination of Haloxylon ammodendron and Nitraria roborowskii Kom in Qaidam Basin, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:5, 336–345, DOI: 10.1080/09064710.2021.1897157
• Liu Zhenjian, Liu Jiahua & Xu Yunbao (2021) Research on the path of agriculture sustainable development based on the concept of circular economy and big data, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 1024–1035, DOI: 10.1080/09064710.2021.1929436
• Chunhong Zhang & Zhe Chen (2021) Advances in study on the effects of arbuscular mycorrhizal fungi on plants in remediation of arsenic-contaminated soil, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 825–834, DOI: 10.1080/09064710.2021.1952300
• Jiyuan Zheng & Hao Hu (2022) Study on food quality and safety management model based on industrial agglomeration theory, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 429–439, DOI: 10.1080/09064710.2021.2009552
• Erlin Tian, Zuhe Li, Wei Huang & Haizhen Ma (2021) Distributed and Parallel simulation methods for pest control and crop monitoring with IoT assistance, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 884–898, DOI: 10.1080/09064710.2021.1955959
• Amine Saddik, Rachid Latif, Abdelhafid El Ouardi, Mohamed Elhoseny & Adel Khelifi (2022) Computer development based embedded systems in precision agriculture: tools and application, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 589–611, DOI: 10.1080/09064710.2021.2024874
• Zhiwei Rao & Jie Yuan (2021) Data mining and statistics issues of precision and intelligent agriculture based on big data analysis, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 870–883, DOI: 10.1080/09064710.2021.1954684
• Ling Wang, Jiabin Liu, Ying Nie, Daqing Wang & Hongyan Wang (2021) Effects of vermicompost on tomato Fusarium wilt and soil microbial community structure, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 835–851, DOI: 10.1080/09064710.2021.1952301
• Hecang Zang, Qiaoli Zhao, Qing Zhao, Jie Zhang, Yanjing Wang, Meng Wang, Guoqing Zheng & Guoqiang Li (2021) The design and experiment of peanut high-throughput automatic seed testing system based on machine learning, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 931–938, DOI: 10.1080/09064710.2021.1964591
• Thanjai Vadivel & R. Suguna (2022) Automatic recognition of tomato leaf disease using fast enhanced learning with image processing, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 312–324, DOI: 10.1080/09064710.2021.1976266
• Wenjian Zhu (2021) Architectural planning of agricultural production bases in the suburbs of the city based on the concept of circular economy, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:8, 706–717, DOI: 10.1080/09064710.2021.1943512
• Gang Liu (2021) Optimisation of agricultural economic structure based on factor analysis and intelligent algorithms, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:8, 738–748, DOI: 10.1080/09064710.2021.1946585
• Yinghan Liu (2021) Intelligent analysis platform of agricultural sustainable development based on the Internet of Things and machine learning, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:8, 718–731, DOI: 10.1080/09064710.2021.1943513
Shuyu Chen (2021) The role and impact of environmental big data in agricultural disaster management, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 907–919, DOI: 10.1080/09064710.2021.1959634
• S. Durai & C. Mahesh (2021) Research on varietal classification and germination evaluation system for rice seed using hand-held devices, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 939–955, DOI: 10.1080/09064710.2021.1964592
• Suolang Yuzhen (2021) Research on smart agricultural waste discharge supervision and prevention based on big data technology, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:8, 683–695, DOI: 10.1080/09064710.2021.1939409
• Huo Yuanyuan & Zhang Yan (2021) Research on the impact of China’s fiscal and tax policies on the performance of agricultural enterprises in straw power generation industry chain, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 1050–1062, DOI: 10.1080/09064710.2021.1938200
• Xiaona Hou (2021) Analysis of the correlation between agricultural innovation ecosystem and economic growth, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 1036–1049, DOI: 10.1080/09064710.2021.1956580
• Ping Gong & Dong Wang (2021) Design and application of agricultural ecological building engineering, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 783–793, DOI: 10.1080/09064710.2021.1949484
• Zhao Liu (2021) Landscape design of agricultural theme park based on ecological concept, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 794–805, DOI: 10.1080/09064710.2021.1949485
• Yiran Li & Zhenyu Wang (2022) Analysis on the effect of farmer income of policy-based agricultural insurance, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 386–400, DOI: 10.1080/09064710.2021.2005820
• Guiling Wang & Yimin Chen (2021) Construction of the legal framework of Chinese-funded enterprises’ agricultural investment under big data technology, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 749–761, DOI: 10.1080/09064710.2021.1946586
• Shiming Shen, Jian Li & Rui Xu (2021) Agricultural ecological environment protection based on the concept of sustainable development, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 920–930, DOI: 10.1080/09064710.2021.1961852
• Jun He, Guanghui Yuan, Shuaiwu Li & Chi Zhang (2022) The relationship between food production and political stance based on canonical correlation analysis and empirical mode decomposition: taking the U.S.-DPRK relations as an example, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 260–270, DOI: 10.1080/09064710.2021.2007992
• Hang Sun & Shengxian Tang (2022) Planning of agricultural ecological scenery based on the concept of traditional rural culture, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 333–343, DOI: 10.1080/09064710.2021.1993320
• Wenzhou Yi (2022) Forecast of agricultural water resources demand based on particle swarm algorithm, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 30–42, DOI: 10.1080/09064710.2021.1990386
• Hongchang Li & Fang Gao (2021) Investigation on optimising agricultural cultivator openers using quadratic orthogonal rotation regression, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 970–979, DOI: 10.1080/09064710.2021.1967438
• Yaping Tao (2022) Research on the impact of trade uncertainty on national grain supply and risk cost control, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 92–104, DOI: 10.1080/09064710.2021.1993321
• Jingyu Cao (2022) Coordinated development mechanism and path of agricultural logistics ecosystem based on big data analysis and IoT assistance, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 214–224, DOI: 10.1080/09064710.2021.2008476
• Chao Huang & Yaling Chen (2021) Agricultural business and product marketing effected by using big data analysis in smart agriculture, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 980–991, DOI: 10.1080/09064710.2021.1967439
• Dongkun Li (2021) Application of artificial intelligence and machine learning based on big data analysis in sustainable agriculture, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 956–969, DOI: 10.1080/09064710.2021.1965650
• Wang Qian & Lv Jie (2022) An empirical study on the impact of human capital on cost efficiency: taking the main corn production areas in China as an example, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 142–156, DOI: 10.1080/09064710.2021.2001040
• Qiao Jie (2022) Precision and intelligent agricultural decision support system based on big data analysis, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 401–414, DOI: 10.1080/09064710.2021.2008477
• Fang Gao & Hongchang Li (2022) Research on variable rate fertilisation machine based on big data analysis, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 225–236, DOI: 10.1080/09064710.2021.2008478
• Chun Luo & Xianyong Wu (2022) Research on the integrated development of leisure agriculture and red cultural tourism under the background of big data, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 189–199, DOI: 10.1080/09064710.2021.2007993
• Xingliang Du (2022) Research on roof waterproof construction of agricultural construction engineering based on big data technology, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 43–53, DOI: 10.1080/09064710.2021.1990387
• Fengbiao Shang & Wenjie Zhu (2022) Planning of ecological agricultural tourist attractions based on the concept of circular economy, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 538–552, DOI: 10.1080/09064710.2021.2021278
• Aifeng Wang, Dong Yan, Yiming He, Sufang Liu, Xiutao Yang & Bei Wang (2022) Research on the architectural design of the agricultural sightseeing tourist area, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 54–66, DOI: 10.1080/09064710.2021.1990388
• Wu Qiang (2022) Research on data transmission model of agricultural wireless sensor network based on game theory, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 67–80, DOI: 10.1080/09064710.2021.1990389
• Honghong Liu (2022) Agricultural water management based on the Internet of Things and data analysis, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 300–311, DOI: 10.1080/09064710.2021.1966496
• Ming Bai (2021) Input-output analysis of the integration of primary, secondary and tertiary industries in rural areas of Inner Mongolia under the background of big data, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71:9, 1063–1074, DOI: 10.1080/09064710.2021.1966497
• Duan Xiaochen, Tang Yan, Liu Fen, Fu Xiuyong & Liu Fugang (2022) Organic pollution control of agricultural land based on straw biochar, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 237–247, DOI: 10.1080/09064710.2021.2008479
• Yi Xu (2022) Research on the improvement of accounting work quality of new agricultural business entities under the background of big data, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 440–453, DOI: 10.1080/09064710.2021.2009553
• Zhengwei Wan (2022) The application of big data in the legal improvement of agricultural product quality and safety governance, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 200–213, DOI: 10.1080/09064710.2021.2007994
• Zhuang Fei (2022) Research on rural land planning based on traditional farming culture, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 248–259, DOI: 10.1080/09064710.2021.2001041
• Xia Li (2022) Analysis of legal regulations on agricultural trade in the post-epidemic era, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 271–283, DOI: 10.1080/09064710.2021.2008480
• Jianchao Shen, Chenjie Xu & Yue Ying (2022) Construction of intelligent supply chain system of agricultural products based on big data, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 375–385, DOI: 10.1080/09064710.2021.2005131
• Haishu Qiao, Zongzhen Li & Xiangyu Yang (2022) Analysis on the sources of value added of American crop exports and employment, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 344–357, DOI: 10.1080/09064710.2021.1993322
• Zheng Chen & Bicheng Diao (2022) Regional planning of modern agricultural tourism base based on rural culture, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 415–428, DOI: 10.1080/09064710.2021.2008481
• Chengying Shan, Chengjie Shu, Wei Nie, Yue Xu, Shihong Ma & Qiuhui Hu (2022) Anti-aging effect of polysaccharides from the peel of Zanthoxylum schinifolium Sieb. et Zucc. on the nematode Caenorhabditis elegans, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 476–484, DOI: 10.1080/09064710.2021.2012249
• Yuanyuan Zhou, Qing Xia, Zichen Zhang, Mengqi Quan & Haoran Li (2022) Artificial intelligence and machine learning for the green development of agriculture in the emerging manufacturing industry in the IoT platform, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 284–299, DOI: 10.1080/09064710.2021.2008482
• Zhu Wenqiang, Wang Jingran, Wu Qi, Wang Na, Guo Jianwei, Yang Zilin, Sha Yun, Liu Lin & Li Chengyun (2022) Investigation on types of corn rust in eastern Yunnan ecology and analysis of population genetic structure of its rusts, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 485–495, DOI: 10.1080/09064710.2021.2012250
• M. Vaidhehi & C. Malathy (2022) An unique model for weed and paddy detection using regional convolutional neural networks, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 72:1, 463–475, DOI: 10.1080/09064710.2021.2011395
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 the articles included in this Special Issue were 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 editorial policies and the COPE guidelines.
The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.