Aswin Vellaichamy S 1 ; Akshay Swaminathan 2 ; C Varun 3 ; Kalaivani S 4 *
1 School of Electronics Engineering, Vellore Institute of Technology, Tamilnadu, India.
2 School of Electronics Engineering, Vellore Institute of Technology, Tamilnadu, India.
3 School of Electronics Engineering, Vellore Institute of Technology, Tamilnadu, India.
4 Associate Professor, School of Electronics Engineering, Vellore Institute of Technology, Tamilnadu, India.
* Corresponding Author

Article Id - IJEET_12_05_005, Pages : 38-57, Date of Publication : 24, May 2021

DOI:   19 Downloads   127 Views   0 Citation
Google Scholar Link
Academia Link


Agriculture is the backbone of a country in terms of economy and survival of the people. To maintain a high efficiency of crop production we look to avoid plant diseases. The proposed algorithm is to optimize the information from the resources available to us for the betterment of the result without any complexity. The neural network used for classification is the Dense Convolution Neural Network (DCNN). In this project, a pre-trained neural network model (densenet-121) which is imported from the keras library has been used for training. A convolution may be a simple application of a filter to an input that leads to activation. Frequent application of equivalent filter to an input, leads to a map of activations called feature map, indicating the locations and strength of a detected feature in an input such as an image. The convolutional networks help to automatically learn an outsized number of filters in parallel specific to a training dataset. This algorithm helps provide an efficient result in detecting plant diseases, which in turn helps the economy of the country as well. Using 35779 images from Huges DP Plant- Village dataset from Kaggle, the densenet-121 has been used to classify the 29 different diseases for 7 plants (potato, tomato, corn, bell pepper, grape, apple and cherry). In this project, the original image is converted to HSV color form and then the masked image is generated by thresholding and given to the proposed model for training and classification, giving an average accuracy (theoretical) of 98.23%. When all classes of plant disease are given together to the model for training on google colab platform, (Tesla-T4 processor) we got an average accuracy of 94.96% for 50 epochs with a learning rate of 0.002. Additionally, a basic user-friendly website to test the trained model for the disease affected plant images and get prescription for the plant disease. Further the scope to extend the dataset used for training to identify many plant diseases.


Metallic Surface, VGG-16, Neural Networks, Defect Detection

Share and Cite:

Aswin Vellaichamy S, Akshay Swaminathan, C Varun and Kalaivani S, Multiple Plant Leaf Disease Classification using Densenet-121 Architecture, International Journal of Electrical Engineering and Technology (IJEET), 12(5), 2021, pp. 38-57 doi:


[1]    Anami, Basavaraj S., Naveen N. Malvade, and Surendra Palaiah. "Classification of yield affecting biotic and abiotic paddy crop stresses using field images." Information Processing in Agriculture 7, no. 2 (2020): pp 272-285.
[2]    Muppala, Chiranjeevi, and Velmathi Guruviah. "Detection of leaf folder and yellow stemborer moths in the paddy field using deep neural network with search and rescue optimization." Information Processing in Agriculture (2020).
[3]    Sethy, Prabira Kumar, Nalini KantaBarpanda, Amiya Kumar Rath, and Santi Kumari Behera. "Image Processing Techniques  for  Diagnosing  Rice  Plant  Disease:  A  Survey." Procedia Computer Science 167 (2020): pp 516-530.
[4]    Ramesh, S., and D. Vydeki. "Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm." Information processing in agriculture 7, no. 2 (2020): pp 249-260.
[5]    Khan, Saiqa, and Meera Narvekar. "Novel fusion of color balancing and supe rpixel based approach for detection of tomato plant diseases in natural complex environment." Journal of King Saud University-Computer and Information Sciences (2020).
[6]    Mathew, Deepthy, C. Sathish Kumar, and K. Anita Cherian. "Foliar fungal disease classification in banana plants using elliptical local binary pattern on multiresolution dual tree complex wavelet transform domain." Information Processing in agriculture (2020).
[7]    Khan MA, Lali MIU, Sharif M, et al. An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection. IEEE Access. 2019March;7:46261–46277.
[8]    Sharma, Parul, Yash Paul Singh Berwal, and Wiqas Ghai. "Performance analysis of deep learning CNN models  for  disease  detection  in  plants  using  image segmentation." Information Processing in Agriculture 7, no. 4 (2020): pp 566-574
[9]    Bakar, MN Abu, A. H. Abdullah, N. Abdul Rahim, H. Yazid, S. N. Misman, and M. J. Masnan. "Rice leaf blast disease detection using multi-level colour image thresholding. "Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10, no. 1-15 (2018): 1-6.
[10]    Rahman, Chowdhury R., Preetom S. Arko, Mohammed E. Ali, Mohammad A. Iqbal Khan, Sajid H. Apon, Farzana Nowrin, and AbuWasif. "Identification and recognition of rice diseases and pests using convolutional neural networks." Biosystems Engineering 194 (2020): pp112-120
[11]    Mishra, S., Sachan, R. and Rajpal, D., 2020. Deep Convolutional Neural Network based Detection System for Real-time Corn Plant Disease Recognition. Procedia Computer Science, 167, pp.2003-2010.
[12]    Afonso, M., Blok, P.M., Polder, G., van der Wolf, J.M. and Kamp, J., 2019. Blackleg Detection in Potato Plants using Convolutional Neural Networks. IFAC-Papers OnLine, 52(30), pp.6-11.
[13]    Tiwari, D., Ashish, M., Gangwar, N., Sharma, A., Patel, S. and Bhardwaj, S., 2020, May. Potato leaf diseases detection using deep learning. In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) pp. 461-466. IEEE.
[14]    Sibiya, M. and Sumbwanyambe, M., 2019. A computational procedure for the recognition and classification of maize leaf diseases out of healthy leaves using convolutional neural networ Agri Engineering, 1(1), pp.119-131.
[15]    Vetal, S. and Khule, R.S., 2017. Tomato plant disease detection using image processing. International Journal of Advanced Research in Computer and Communication Engineering, 6(6), pp.293-297.
[16]    Adhikari, S., Shrestha, B., Baiju, B. and Saban, K.C., 2018. Tomato plant diseases detection system using image processing. In 1st KEC Conference on Engineering and Technology, Lalitpur Vol. 1, pp. 81-86.
[17]    Athanikar, G. and Badar, P., 2016. Potato leaf diseases detection and classification system. International Journal of Computer Science and Mobile Computing, 5(2), pp.76-88.
[18]    Kurmi, Y. and Gangwar, S., 2021. A Leaf Image Localization based Algorithm for Different Crops Disease Classification. Information Processing in Agriculture.
[19]    Iyyanar, P., Priya, R., Saranya, E. and Sindhuja, S., PLANT DISEASE PREDICTION.
[20]    Jadhav, M.V.S., 2021. Development and Advancement in Image Processing Technique for Detection of Various Diseases in Fruit & Vegetable Plants: A Review.
[21]    Tummala, S., 2021. Classification of Multi Diseases in Apple Plant Leaves
[22]    Ghorai, A.K., Mukhopadhyay, S., Kundu, S., Mandal, S.N., Barman, A.R., De Roy, M., Jash, S. and Dutta, S., Image Processing Based Detection of Diseases and Nutrient Deficiencies in Plants.
[23]    Patil, J., 2021. Pomegranate Fruit Diseases Detection Using Image Processing Techniques: A Review. Information Technology In Industry, 9(2), pp.115-120.
[24]    Kartikeyan, P. and Shrivastava, G., Review on Emerging Trends in Detection of Plant Diseases using Image Processing with Machine Learning. International Journal of Computer Applications, 975, p.8887.
[25]    Zarlis, M. and Sihombing, P., 2021, February. Optimization of the CNN model for smart agriculture. In IOP Conference Series: Materials Science and Engineering (Vol. 1088, No. 1, p. 012029). IOP Publishing.
[26]    Huang, G., Liu, Z., Van Der Maaten, L. and Weinberger, K.Q., 2017. Densely connected convolutional networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 4700-4708).
[27]    Zhang, Y., Tian, Y., Kong, Y., Zhong, B. and Fu, Y., 2018. Residual dense network for image super- resolution. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2472-2481).
[28]    Guo, Z., Zhang, Y., Teng, Z. and Lu, W., 2019. Densely connected graph convolutional networks for graph-to-sequence learning. Transactions of the Association for Computational Linguistics, 7, pp.297-312.
[29]    Patil P, Yaligar N, M MS. Comparison of Performance of Classifiers -SVM, RF and ANN in Potato Blight Disease Detection Using Leaf Images. In: IEEE Intern. Conf. Compu. Intell. and Comput. Research (ICCIC);2017. p. 1–5.
[30]    Qin F, Liu D, Sun B, et al. Identification of Alfalfa Leaf Diseases Using Image Recognition Technology. PLOS ONE. 2016 12;11(12):1–26.
[31]    Kaur S, Pandey S, Goel S. Semi-automatic leaf disease detection and classification system for soybean culture. IET Image Processing. 2018May;12(6):1038–1048.
[32]    Hughes DP, Salathe M. An open access repository of images on plant health for mobile disease diagnosis 



International Journal of Electrical Engineering and Technology (IJEET) is indexed in Scope Database from 2010 to 2021

Please click the following link to see thescreenshot

Web of Science (Clarivate Analytics)

Total citation of 31 from IJEET Journal published from 2010 to 2021

Please click the following link to see thescreenshot


Total citation of 38 from IJEET Journal published from 2010 to 2021

Please click the following link to see thescreenshot

Google Scholar

Total citation of 1226 from IJEET Journal published from 2010 to 2021

University of Barcelona - MIAR - Information Matrix for the Analysis of Journals


Please click the following link to see thescreenshot

Scope Database Source Link:

MIAR - Information Matrix for the Analysis of Journals:

Our IAEME Publication journals are indexed in various indexing search engines

Aim and Scope
     International Journal of Electrical Engineering and Technology (IJEET) is a peer-reviewed, Online and Print journal published by IAEME Publication.
    The International Journal of Electrical Engineering and Technology (IJEET) is an international scholarly journal which publishes original research findings in power generation, transmission and conversion, electrical machinery, control theory and industrial controls, robotics, electrical transportation equipment, insulation, solar energy, high-power semiconductors, as well as economic and environmental aspects of energy production and distribution

Chief Editor

Dr. P. Sanjeevikumar - Aalborg University, Aalborg, Denmark

Managing Editor

Dr. T Ananthapadmanabha - Principal, NIE Institute of Technology, Mysuru, India

Dr. Mohamed I. El-sayed - Faculty of Engineering (Grails), Al-Azhar University, Cairo, Egypt

Editorial Board

Dr. S.Sankar - Panimalar Institute of Technology, India

Dr. Anshul Agarwa - National Institute of Technology Hamirpur, India

Dr. M V Raghavendra - Adama Science & Technology University, Ethiopia

Dr. Javed Khan Bhutto - Marudhar Engineering College, India

Dr. V. Balaji - Lord Ayyappa Institute of Engineering and Technology, India

Dr. C. Subramani - SRM University, India

Dr. R. Dhanasekaran - Syed Ammal Engineering College, Tamilnadu, India

Dr. N M Lokhande - K J College Of Engg and Management Research, Pune, India

Dr. A.Senthil Kumar - Velammal Engineering College, Chennai, India

Dr. Naushad Alam - Aligarh Muslim University Aligarh, India

Dr. Aldona Kuśmińska-Fijałkowska - Kazimierz Pulaski University of Technology and Humanities, Poland

Dr. SM Shashidhar - Proudhadevaraya Institute of Technology, Ballari, Karnataka, India

Dr. K. Swarnasri - R. V. R. & J. C. College of Engineering, India

Dr. Waldemar Nowakowski - Kazimierz Pulaski University of Technology and Humanities, Poland

Dr. Jacek Kozyra - Kazimierz Pulaski University of Technology and Humanities, Poland

Dr. D. Obulesu - Vemu Institute of Technology, Andhrapradesh, India

Dr. Selvarasu Ranganathan - Sree Vidyanikethan Engineering College, Tirupathi, India

Dr. Mourad Hebali - University Mustafa Stmboli, Algeria

Dr. C.Govindaraju - Government College of Engineering, Tamilnadu, India

Dr. Puttamadappa C - Dayananda Sagar University, Bangalore, India

Dr. M.G.Siddh - Gujarat Technological University Gujarat, India

Dr. P.C.Panda - KIIT University, Bhubaneswar, India

Dr. Afaf Ahmed Abed - Al Furat Al Awsat Technical University, Kufa, Iraq

Dr. M. RathinaKumar - Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, Tamilnadu, India

Dr. Sheeraz Kirmani - Jamia Millia Islamia, New Delhi, India

Dr. L.S.Nasrat - Aswan University, Aswan, Egypt

Dr. V. N. Gohokar - Marathawada Mitramandal College of Engineering, Pune, India

Dr. V.C. Veera Reddy - S.V.U. College of Engineering, Tirupati, India

Dr. D. Bhagwan Das - Dayalbagh Educational Institute (Deemed University), Agra, India

Dr. P.S.Subramanyam - Vignana Bharathi Institute of Technology, Hyderabad, India

Dr. R. Alkama - University of Bejaia, Algeria

Dr. T. Nageswara Prasad - S.V.U. College of Engineering, Tirupati, India

Dr. E.Maheswari - Sri Sairam Institute of Technology, Chennai, India

Dr. Ganga Agnihotri - MANIT Bhopal, India

Dr. M. Surya Kalavathi - JNTU College of Engineering, Hyderabad, India

Dr. Subir Datta - Mizoram University, Mizoram, India

Dr. Sanjay Lakshminarayanan - M S Ramaiah Institute of Technology, Bangalore-India

Dr. H. Mellah - Sétif 1University, Sétif, Algeria

Dr. Sumita Deb - Tripura University, Tripura, India

Dr. C.K.Panigrahi - KIIT University, Odisha, India

Dr. A. Selwin Mich Priyadharson - Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India

Dr. S.S.Sivaraju - RVS College of Engineering and Technology, Coimbatore, India

Dr. V.Ranganayaki - Dr.N.G.P Institute of Technology, Tamilnadu, India

Dr. M.Rajmal Joshi - Panimalar Engineering College, Tamilnadu, India

Dr. Navid Razmjooy - Tafresh University, Iran

Dr. P. Selvaraj - S V Engineering College, Tirupati, Andhra Pradesh, India

Dr. Jesús M. Blanco - University of the Basque Country, Spain

Dr. Zhen Fang - Chinese Academy of Sciences, China

Dr. Herbert H. C. Iu - The University of Western Australia, Australia

Dr. Marc A. Rosen - University of Ontario Institute of Technology, Canada

Dr. Federico Scarpa - University of Genoa, Italy

Dr. V. V. Karthikeyan - Karpagam College of Engineering, India

Dr. Russell Binions - University of London, UK

Dr. Roulet Claude-Alain - Ecole Polytechnique Federale de Lausanne, Switzerland

Dr. Massimo Corcione - University of Rome, Italy

Dr. Zainuddin Abdul Manan - Universiti Teknologi Malaysia, Malaysia

Dr. Randy W. Mann - Global Foundries, USA

Dr. Nikos Sakkas - Technological and Educational Institute of Crete, Greece

Dr. Shaik Rafi Kiran - Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India

Dr. Rajesh Agarwal - Assistant Professor, Department of Electronics and Communication Engineering, SRM IST, Chennai, India.

Dr. A.N. Jha - Department of Electrical Engineering, Indian Institute of Technology, New Delhi, India

Prof. Joydeep Bhattacharyya - Senior Technical Leader and Architect at Data Center Group, Intel Corporation, San Jose, USA

Dr. S. Jaganathan - Professor and Head, Department of EEE, Dr.N.G.P. Institute of Technology, Coimbatore, Tamilnadu, India

Dr. Ravindran Mariappan - Associate Professor (SG), Electrical and Electronics Engineering Department, National Engineering College, Kovilpatti, Tamilnadu, India

Prof. Uma Govindarajan - Professor & Head of Electrical and Electronic Engineering Department, College of Engineering Guindy, Anna University, Tamil Nadu, India

Prof. Vijayalakshmi Vivekananda - Pondicherry Engineering College (PEC), Pondicherry, India

Dr. Mohd Aliff Afira Bin Hj. Sani - Instrumentation and Control Engineering, Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Malaysia

Dr. Mohd Aliff Afira Bin Hj. Sani - Instrumentation and Control Engineering, Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Malaysia

Dr. G. Emayavaramban - Assistant Professor, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu,India

Dr. R.Neela - Professor of Electrical Engineering, Annamalai University, Tamilnadu, India.

Prof. L. Premalatha - Department of Electrical Engineering, VIT University, Chennai, India

Dr. MaruthuPandi Perumal - Assistant Professor, Department of Electrical and Electronics Engineering, Govt. College of Technology, Coimbatore, Tamilnadu, India

Prof. Jialin Chen - Electrical Engineering, State Grid Hubei Information & Telecommunication Co. Ltd., Hongshan, Wuhan,China.

Dr. Belwin Edward Jeyaraj - Associate Professor, School of Electrical Engineering ,Vellore Institute of Technology (VIT), Vellore, Tamilnadu, India

Prof. Balakrishnan Pappan - Associate Professor, Department of Electrical Engineering, Malla Reddy Engineering College for Women, Maisammaguda, Telangana, India

Dr. S. Sophia - Professor and Head, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India

Dr. K. Radha Rani - Professor, EEE Department, R.V.R & J.C. College of Engineering, Andhra Pradesh, India

Dr. AshokKumar Ramaswamy - Professor, Department of Electrical Engineering, Annamalai University, Tamil Nadu, India

Reviewer Board

Dr. J.B. Seventiline - Professor and Assistant Principal of GITAM Institute of Technology under GITAM, Gandhi Nagar, Rushikonda, Visakhapatnam, Andhra Pradesh 530045.

Dr. Umapathi Reddy P - Professor, Department of Electrical Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India

Dr. Kiranmayi R - Professor & Head of Department, Department of Electrical Engineering, JNTUA, Anantapur, Andhra Pradesh, India

Dr. Sarfaraz Nawaz - Associate Professor, Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Rajasthan, India

For Authors

Manuscripts should be submitted by one of the authors of the manuscript through the online manuscript submission system. Submissions by anyone other than one of the authors will not be accepted.
Regardless of the source of the word-processing tool, only electronic PDF or MS-Word files can be submitted through the online submission system. If for some technical reason online submission is not successful, the author can submit the manuscript to

Paper title (14 Bold)- Capital Letter

First Author1, Second Author2 (13 Bold- Times New Roman)

1(Department, College/ University Name, Address, Country Name, Email) (12)

2(Department, College/ University Name, Address, Country Name, Email) (12)

ABSTRACT (12 Bold)

The abstract should summarize the content of the paper. Try to keep the abstract below 350 words. Do not make references nor display equations in the abstract. The journal will be printed from the same-sized copy prepared by you. Your manuscript should be printed on A4 paper (21.0 cm x 29.7 cm). It is imperative that the margins and style described below be adhered to carefully. This will enable us to keep uniformity in the final printed copies of the Journal. Please keep in mind that the manuscript you prepare will be photographed and printed as it is received. Readability of copy is of paramount importance.(12)

Keywords (12 Bold) : About five key words in alphabetical order, separated by comma (12)


The introduction of the paper should explain the nature of the problem, previous work, purpose, and the contribution of the paper. The contents of each section may be provided to understand easily about the paper. (12)


The headings and subheadings, starting with "1. Introduction", appear in upper and lower case letters and should be set in bold and aligned flush left. All headings from the Introduction to Acknowledgements are numbered sequentially using 1, 2, 3, etc. Subheadings are numbered 1.1, 1.2, etc. If a subsection must be further divided, the numbers 1.1.1, 1.1.2, etc.

The font size for heading is 12 points bold face and subsections with 12 points and not bold. Do not underline any of the headings, or add dashes, colons, etc. (12)


The first paragraph under each heading or subheading should be flush left, and subsequent paragraphs should have a five-space indentation. A colon is inserted before an equation is presented, but there is no punctuation following the equation. All equations are numbered and referred to in the text solely by a number enclosed in a round bracket (i.e., (3) reads as "equation 3"). Ensure that any miscellaneous numbering system you use in your paper cannot be confused with a reference [4] or an equation (3) designation. (12)


To ensure a high-quality product, diagrams and lettering MUST be either computerdrafted or drawn using India ink.

Figure captions appear below the figure, are flush left, and are in lower case letters.When referring to a figure in the body of the text, the abbreviation "Fig." is used. Figures should be numbered in the order they appear in the text.

Table captions appear centered above the table in upper and lower case letters. When referring to a table in the text, no abbreviation is used and "Table" is capitalized. (12). Figures and tables should be included in the running text itself


A conclusion section must be included and should indicate clearly the advantages, limitations, and possible applications of the paper. Although a conclusion may review the main points of the paper, do not replicate the abstract as the conclusion. A conclusion might elaborate on the importance of the work or suggest applications and extentions. (12)


An acknowledgement section may be presented after the conclusion, if desired.( 12)


This heading is not assigned a number.

A reference list MUST be included using the following information as a guide. Only cited text references are included. Each reference is referred to in the text by a number enclosed in a square bracket (i.e., [3]). References must be numbered and ordered according to where they are first mentioned in the paper, NOT alphabetically.

Examples follow:

ournal Papers:

[1] M Ozaki, Y. Adachi, Y. Iwahori, and N. Ishii, Application of fuzzy theory to writer recognition of Chinese characters, International Journal of Modelling and Simulation, 18(2), 1998, 112-116. (12)


[2] R.E. Moore, Interval analysis (Englewood Cliffs, NJ: Prentice-Hall, 1966). (12) Note that the title of the book is in lower case letters and italicized. There is no comma following the title. Place of publication and publisher are given.

Chapters in Books:

[3] P.O. Bishop, Neurophysiology of binocular vision, in J.Houseman (Ed.), Handbook of physiology, 4 (New York: Springer-Verlag, 1970) 342-366. (12) Note that the place of publication, publisher, and year of publication are enclosed in brackets. Editor of book is listed before book title.


[4] D.S. Chan, Theory and implementation of multidimensional discrete systems for signal processing, doctoral diss., Massachusetts Institute of Technology, Cambridge, MA, 1978. (12)

Proceedings Papers:

[5] W.J. Book, Modelling design and control of flexible manipulator arms: A tutorial review, Proc. 29th IEEE Conf. on Decision and Control, San Francisco, CA, 1990, 500-506 (12)

Manuscripts not adhering to journal guidelines will be returned to authors without scientific evaluation. Submitted manuscripts adhering to journal guidelines are reviewed by the Editor-in-Chief or an Editor, who will assign them to reviewers. The review process is double blind. The Editor prepares a decision letter according to the comments of the reviewers, which is sent to the corresponding author. All non-reviewed manuscripts are sent back within 10 days and the decision letters of manuscripts are sent within 4 weeks.
Open Access authors retain the copyrights of their papers, and all open access articles are distributed under the terms of the Creative Commons Attribution License, CC BY (or the Creative Commons Attribution-NonCommercial License CC BY-NC), which allows users to (noncommercially) copy, use, distribute, transmit and display the work publicly and to make and distribute derivative works, in any digital medium for any responsible purpose, subject to proper attribution of authorship.
The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
While the advice and information in this journal are believed to be true and accurate on the date of its going to press, neither the authors, the editors, nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.
IAEME Publication is committed to maintaining high standards through a rigorous peer-review together with strict ethical policies. Any infringements of professional ethical codes, such as plagiarism, fraudulent use of data, bogus claims of authorship, should be taken very seriously by the editors with zero tolerance..
IAEME Publication follows the Code of Conduct of the Committee on Publication Ethics (COPE), and follows the COPE Flowcharts for Resolving Cases of Suspected Misconduct.
Please find more general information for authors on the page: Information for Authors.

IAEME Publication Fees

IAEME Publication charges an Article Processing Charge (APC) once an article is accepted for publication. These charges cover the costs of turning a manuscript into a finished article, as well as the costs of hosting, distributing and promoting an article.

Article Processing Charges explained

We are committed to making the costs of publishing as clear as possible and so the charges for each journal are clearly displayed on each journal`s homepage.

When a manuscript is submitted, it passes through the many different departments at Hindawi to ensure the quality checks, peer review, production and promotion of articles is carried out in a timely manner and to a high standard:

✔ The Editorial Screening team, who perform initial technical and ethical checks

✔ The Editorial team, who help the journal`s Academic Editors manage the review process

✔ The Production team, who convert the manuscript to a professionally typeset article and well-structured file format

✔ The Proofing team, who coordinate the proofing process through Hindawi`s Online Proofing System (OPS)

✔ The Editorial Quality Assurance team, who perform a final check to ensure that the manuscript and its review process adhere to the journal`s guidelines and policies

✔ Our Marketing and Communication teams, who ensure your article receives the attention it deserves.

✔ The Technology team, who build and maintain our systems, and develop new systems

The work these teams do contribute to the requirement of an APC and is why the actual amount payable varies depending on the journal in which you wish to publish your article.

IAEME Publication does not request Article Submission Charges, also called Submission Fees. These are due at the time of submission of the manuscript. Nor does IAEME charge per page or for color figures or for any other items for which other publishers are known to charge.

Sources for Article Processing Charges (APC)

Authors of an article are responsible for arranging the payment of APC. Still, that typically does not mean that authors end up paying for the publication of the article. The cost of APC is very often assumed either by the organization funding the research published in the article, or by an Open Access Publishing Fund, or by the institution at which the author is employed.

Fair Dealing - Authors and Publisher

When an author submits a manuscript for review at one of IAEME`s journals, the submitted manuscript should not have been previously published in any form and must not be currently under consideration for publication elsewhere. The manuscript should also not be submitted to any other journal during the review process at IAEME Publication. In case the review process at IAEME takes much longer than stated and the author wishes to end the review process at IAEME, he/she should get in contact with the Editorial Assistant of the journal at IAEME and come to an agreement suitable for both sides after looking at the stage of the manuscript in the review process.

With the APC specified above, the author is given an indication what the APC will be. IAEME is charging Publication Fees (APC) but not Submission Fees. This is to the benefit to authors because payments are only due once the author knows the manuscript is accepted. IAEME with editors and reviewers puts much effort in dealing with the manuscript and expects the authors to stick to the common plan of publishing the paper which is linked to payments of APC as given above at the end of the review process. The author is not legally bound at this time, but it would be seen as a strong breach of academic conduct to back off from the publication process. Once the manuscript is accepted for publication, IAEME will issue an invoice in the Paper Submission and Manuscript Tracking System. This is IAEME `s legal offer and will state the regular APC of the journal. The Corresponding Author is expected to arrange payments of the amount stated at this time. In severe cases IAEME `s Complaints Procedure can be followed and the result of this should be binding to the author.

Refund Policy

Once an article has been accepted for publication, any Article Processing Charges on the article become due. The submitting author accepts responsibility for the Article Processing Charges, and will not issue refunds of any kind except those payments made by mistake or in excess of the amount required.

Subject Area
The topics to be covered by this journal include but are not limited to the following fields:
• Electric Power Engineering
• Power System Security & Risk Analysis
• Power System Computational Analysis
• Power System Dynamics & Control
• Power System Reliability
• Power System Operations
• Power Distribution System
• Electric Machinery
• Machine and Special Machine
• Power Electronics
• Advanced Technology for Electrical Transportation
• Renewable Energy System
• Motor Drive & Control
• Electric Material and Semiconductor
• High Power and High Voltage
• Robotics and Automation
• Electrical Facilities-Technical Standard & Design and Supervision
• Electric Construction Technology
• Electric Safety Technology
• Electric Railway System

IJEET Journal Stats

Publication years 2010-2021
Publication count 1152
Total Volumes 12
Total Issues 76
Citation count 2357
h-index 21
i5-index 104
Impact Factor 3.07
Downloads 149425
Views 226013
Downloads/article 129.71
Citations/article 2.05

Journal Statistics

Citation Analysis
Scopus Source Link
Google Scholar
Research Bible
Microsoft Academic
Web of Science
University of Barcelona- MAIR - Information Matrix for the Analysis of Journals
Sci Profiles

Related Journals

Create Account

Log In Your Account