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Sachin Balkrushna Jadhav

Sachin Balkrushna Jadhav

Sachin Balkrushna Jadhav
Sachin Balkrushna Jadhav
Associate Professor
Centre/School/Special Centre
School of Computer & Systems Sciences
Room No
214
Off. Phone
011-26704773
Email
sachinjadhav@mail.jnu.ac.in, sachinjadhav@jnu.ac.in
Personal Webpage
https://jnu.ac.in
Qualifications

Ph.D. (Image Processing Algorithms)- Visvesvaraya Technological University (VTU), Belagavi
M.E – Shivaji University Kolhapur
B.E- Shivaji University Kolhapur

Areas of Interest/Specialization

Computer Vision, Digital Image Processing, Deep Learning (Deep CNNs), Machine Learning, Pattern Recognition, Data Science.

Experience

(17 Years)

Awards & Honours

Reviewing Award:
1. Elsevier- Computer and Electronics in Agriculture (2016)
2. Elsevier- Computer and Electronics in Agriculture (2019)

International Collaboration/Consultancy

NA

Best Peer Reviewed Publications

Publications (SCI, SCIE, UGC Care & Scopus Indexed):

  • Jadhav, S.B., Patil, S.B., “Plant leaf species identification using LBHPG feature extraction and machine learning classifier technique. Soft Comput (2023) Springer, Vol.28(2024), pp.5609-5623, ISSN: 1433-7479, https://doi.org/10.1007/s00500-023-09358-4.  (SCI- Impact Factor:4.1)
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Identification of Pant diseases using convolutional neural networks”, International Journal of Information Technology, Springer, Singapore, Vol.13, Issue-6, pp.2461-2470, 2021. https://doi.org/10.1007/978-3-030-51859-2_65. ISSN: 2511-2112 (UGC Care & Scopus Indexed).
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Convolutional Neural Networks for Leaf Image Based Plant Disease Classification”, International Journal of Artificial Intelligence(IJ-AI), Vol.8, Issue-4, pp.328-341,2019. ISSN: 2089-4872 (Scopus Indexed). http://doi.org/10.11591/ijai.v8.i4.pp328-34.
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Soybean leaf disease detection and severity measurement using multiclass SVM and KNN classifier”, International Journal of Electrical and Computer Engineering (IJ-ECE), Vol.9, Issue-5, pp.4077-4091,2019. http://doi.org/10.11591/ijece.v9i5.pp4077-4091. ISSN: 2088-8708 (Scopus Indexed).
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Grading of Soybean Leaf Disease Based on Segmented Image Using K-means Clustering”, International Journal of Artificial Intelligence(IJ-AI), Vol.5, Issue-1, pp.13-21,2016. ISSN: 2089-4872 (Scopus Indexed). http://doi.org/10.11591/ijai.v5.i1.pp13-21.
  • Sachin. Jadhav, and Nikhil Mane, “A Novel High-Speed FPGA Architecture for FIR Filter Design”, International Journal of Reconfigurable and Embedded system (IJ-RES), Vol.1, Issue.1, pp. 1-10, 2012.ISSN: 2089-4864. (Scopus Indexed). http://doi.org/10.11591/ijres.v1.i1.pp1-10.
  • Sachin. Jadhav, and Nikhil Mane, “Design and Implementation of Modified Partial Product Reduction Tree for High Speed Multiplication”, International Journal of Reconfigurable and Embedded system (IJ-RES), Vol.2, Issue.1, pp. 15-20, 2013.ISSN: 2089-4864. (Scopus Indexed). http://doi.org/10.11591/ijres.v2.i1.pp15-20.
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “A review on Image Processing Techniques for Plant Leaf Disease Detection and Classification”, International Journal for Research in Engineering Application & Management (IJREAM), Vol.5, Issue.1, pp. 250-255, 2019.ISSN:2454-9150. (UGC Care). http://doi.org/10.18231/2454-9150.2019.0306.
  • Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Recognition of Plant Leaf Diseases Using Learning Vector Quantization Neural Network Classifier”, IOSR Journal of Computer Engineering (IOSR-JCE), Vol.21, Issue.3, pp. 41-49, 2019. ISSN: 2278-0661. http://doi.org/ 10.9790/0661-2103024149 .
Recent Peer Reviewed Journals/Books
  • Book Chapter: J. K. Patil, S. Dhole, V. Mandlik,  Sachin B. Jadhav, “Comparative Study for Applicability of Color Histograms for CBIR Used for Crop Leaf Disease Detection”, Machine Learning Applications: From Computer Vision to Robotics, Wiley-IEEE Press, pp 49-68  https://doi.org/10.1002/9781394173358.ch4. (2023) (Scopus Indexed).
  • Book Chapter:  Sachin Jadhav, V. R. Udupi, and S. B. Patil, “Efficient framework for soybean leaf disease detection and classification using machine learning algorithm”. In: Chen JZ., Tavares J., Shakya S., Iliyasu A. (eds), AISC -Advances in Intelligent Systems and Computing, Springer (Cham), Vol.1200, pp.718-729. https://doi.org/10.1007/978-3-030-51859-2_65. ISBN: 978-3-030-51859-2. (2021) (Scopus Indexed).
  • Book Chapter:  Sachin. Jadhav, V. R. Udupi, and S. B. Patil, “Classification of soybean diseases using pre-trained deep convolution neural networks”. In: Chen JZ. Tavares J., Shakya S., Iliyasu A. (eds), AISC -Advances in Intelligent Systems and Computing, Springer(Cham), Vol.1200, pp.746-756. https://doi.org/10.1007/978-3-030-51859-2_68. ISBN: 978-3-030-51859-2. (2021) (Scopus Indexed).
  • Book Chapter:  V. C. Khade, S. B. Patil, and Sachin. Jadhav, “Maize Leaf Healthy and Unhealthy Classification Using Image Processing Technique and Machine Learning Classifiers” In: Kumar, A., Mozar, S. (eds). Lecture Notes in Electrical Engineering, vol. 828. Springer, Singapore., pp.717-728. https://doi.org/10.1007/978-981-16-7985-8_75. ISBN: 978-981-16-7985-8. (2022) (Scopus Indexed).
  • Book: Sachin Jadhav, “A Novel High Speed FPGA Architecture Design for FIR Filter”, Lambert Publication Germany, ISBN: 978-3-659-66291-1, (2014).
Patents (if any)

Title: Automatic Plant Leaf Disease Diagnosis with Machine Learning and Deep Convolutional Neural Networks.
Country: Australian Government IP Australia
Patent Registration Number: 2021101682
Date of Grant: 05/05/2021

A warm welcome to the modified and updated website of the Centre for East Asian Studies. The East Asian region has been at the forefront of several path-breaking changes since 1970s beginning with the redefining the development architecture with its State-led development model besides emerging as a major region in the global politics and a key hub of the sophisticated technologies. The Centre is one of the thirteen Centres of the School of International Studies, Jawaharlal Nehru University, New Delhi that provides a holistic understanding of the region.

Initially, established as a Centre for Chinese and Japanese Studies, it subsequently grew to include Korean Studies as well. At present there are eight faculty members in the Centre. Several distinguished faculty who have now retired include the late Prof. Gargi Dutt, Prof. P.A.N. Murthy, Prof. G.P. Deshpande, Dr. Nranarayan Das, Prof. R.R. Krishnan and Prof. K.V. Kesavan. Besides, Dr. Madhu Bhalla served at the Centre in Chinese Studies Programme during 1994-2006. In addition, Ms. Kamlesh Jain and Dr. M. M. Kunju served the Centre as the Documentation Officers in Chinese and Japanese Studies respectively.

The academic curriculum covers both modern and contemporary facets of East Asia as each scholar specializes in an area of his/her interest in the region. The integrated course involves two semesters of classes at the M. Phil programme and a dissertation for the M. Phil and a thesis for Ph. D programme respectively. The central objective is to impart an interdisciplinary knowledge and understanding of history, foreign policy, government and politics, society and culture and political economy of the respective areas. Students can explore new and emerging themes such as East Asian regionalism, the evolving East Asian Community, the rise of China, resurgence of Japan and the prospects for reunification of the Korean peninsula. Additionally, the Centre lays great emphasis on the building of language skills. The background of scholars includes mostly from the social science disciplines; History, Political Science, Economics, Sociology, International Relations and language.

Several students of the centre have been recipients of prestigious research fellowships awarded by Japan Foundation, Mombusho (Ministry of Education, Government of Japan), Saburo Okita Memorial Fellowship, Nippon Foundation, Korea Foundation, Nehru Memorial Fellowship, and Fellowship from the Chinese and Taiwanese Governments. Besides, students from Japan receive fellowship from the Indian Council of Cultural Relations.