Nithiyananthan Kannan


Life of human being and animals depend on the environment which is surrounded by plants. Like human beings, plants also suffer from lot of diseases. Plant gets affected by completely including leaf, stem, root, fruit and flower; this affects the normal growth of the plant. Manual identification and diagnosis of plant diseases is very difficult. This method is costly as well as time-consuming so it is inefficient to be highly specific. Plant pathology deals with the progress in developing classification of plant diseases and their identification. This work clarifies the identification of plant diseases using leaf images caused by bacteria, viruses and fungus. By this method we can identify and control the diseases. To identify the plant leaf disease Adaptive Neuro Fuzzy Inference System (ANFIS) was proposed. The proposed method shows more refined results than the existing works.


Image processing


Sunil Thomas, K.Nithiyananthan, A Novel method to implement MPPT Algorithms for PV panels on a MATLAB/SIMULINK environment , Journal of Advanced Research in Dynamical and Control Systems, 10, No 4, 2018, pp.31-40.

Bacterial Foraging Optimization Based Adaptive Neuro Fuzzy Inference System (ANFIS)


Gowrishankar.K., Sunil Thomas, K.Nithiyananthan, Wireless Integrated-Sensor Network based Subsea Tunnel Monitoring System, Journal of Advanced Research in Dynamical and Control Systems, 10, No 12, 2018, pp.647-658.

Gowrishankar.K., K.Nithiyananthan., M.Priyanka, Sunil Thomas, GSM based dual power enhanced LED display notice board with motion detector, International Journal of Engineering and Technology(UAE), 7 (2.8 Special Issue 8), 2018, pp. 559-566.

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K.Nithiyananthan, Pratap Nair, Raman Raguraman, Tan Yong Sing, Syahrel Emran Bin Siraj, Enhanced R package-based cluster analysis fault identification models for three phase power system network, International Journal of Business Intelligence and Data Mining, Vol 14, 2019, pp106-120.

Sekath Varma, K. Nithiyananthan, MATLAB Simulations based Identification Model for Various Points in Global Positioning System, International Journal of Computer Applications, Vol 138, No13,2016, pp15-18.

S. Samson Raja , R.Sundar , A.Amudha, K.Nithiyananthan, Unit Commitment Calculator Model for Three phase Power System Network, International Journal of Power and Renewable Energy Systems, Vol 3, No1,2016, pp37-42.

K.Gowrishankar, K.Nithiyananthan, Mani Priyanka, Venkatesan, G., Neural network based mathematical model for feed management technique in aquaculture, Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 18), 2017, pp. 1142-1161.

Sing, Tan Yong and Bin Siraj, Syahrel Emran and Raguraman, Raman and Marimuthu, Pratap Nair and Nithiyananthan, K,Cosine similarity cluster analysis model based effective power systems fault identification, International Journal of Advanced and Applied Sciences, Vol 4, No1,2017, pp123-129.

Pratap Nair., Nithiyananthan, K., Dhinakar, P, Design and development of variable frequency ultrasonic pest repeller, Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 12), 2017, pp. 22-34.

K.Nithiyananthan, Sundar, R., Ranganathan, T., Samson Raja, S., Virtual instrumentation based simple economic load dispatch estimator model for 3-phase power system network, Journal of Advanced Research in Dynamical and Control Systems, 9 (11), 2017, pp. 9-15.

K.Nithiyananthan, T.Samson Raja, Sundar, R., Amudha, A., Virtual stability estimator model for three phase power system network, Indonesian Journal of Electrical Engineering and Computer Science, 4 (3), 2016, pp. 520-525.

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Pratap Nair, M., K.Nithiyananthan, Feasibility analysis model for mini hydropower plant in Tioman Island, Malaysia, Distributed Generation and Alternative Energy Journal, 31 (2), 2016, pp. 36-54.

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