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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