RETRACTED ARTICLE: Automatic recognition of tomato leaf disease using fast enhanced learning with image processing

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This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B — Soil & Plant Science.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Issue titled “Envisage Computer Modelling and Statistics for Agriculture”, guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.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.

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Retraction

Additional information

Notes on contributors

Thanjai Vadivel

M. Thanjai Vadivel received his B.E. degree in Computer Science and Engineering from Anna University, Chennai, in 2008. He received his Masters degree in IT (Networking) from VIT University, Vellore, Chennai, India, in 2012. He is a research scholar and assistant professor in the Department of Computer Science and Engineering at Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. His areas of interest are network security, image processing, IoT, wireless sensor networks, cloud security and Data Mining.

R. Suguna

R. Suguna completed B.E. in Computer Engineering at Thiagarajar College of Engineering, Madurai, and M.Tech in Computer Science and Engineering at IIT Madras in 1989 and 2004, respectively. She received a doctorate from Anna University in 2011. Her research interests include Image Processing, Data Mining and Machine Learning. She has 27 years of experience in teaching and held various positions in institutions. She has organised and chaired many national/international conferences and published papers in reputed journals. She is an active member of CSI and IEEE.