Dewendra Onkar Bharambe

@jspmrscoe.edu.in

Assistant Professor, Department of Information Technology
JSPM's Rajarshi Shahu College of Engineering, Pune

Dewendra Onkar Bharambe

EDUCATION

1) Diploma in Computer Technology
2) B. E. ( Computer Engineering)
3) M-Tech ( Computer Science & Engineering)
4) PhD (Pursuing)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering
3

Scopus Publications

20

Scholar Citations

1

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Classification of Millet Cultivars Using Image Processing and Machine Learning Techniques
    Dewendra Bharambe, Pushpalata Aher
    IEEE International Conference on Computational Communication and Information Technology Icccit 2025, 2025
    India is one of the leading producers of various millet cultivars. Indian millets are a class of highly nutritious, drought-resistant crops that are mostly cultivated in the country's semi-arid and drought-prone regions. The most popularly cultivated millet varieties in India are Sorghum (Jowar), Pearl millet (Bajra), Barnyard Millet (Bhagar), Foxtail millet (Kangi), Amaranth (Rajgira), Red sorghum (Chikani), Finger millet (Nachani), and White sorghum (Dadar). In addition to being a wholesome dietary source, millets offer several health advantages. Since they don't contain gluten, they're an excellent alternative for anyone with gluten sensitivity or coeliac disease. Additionally low in glycemic index; millets are a great meal choice for diabetics. Each cultivar has a different nutritional composition and uses. Also, the majority of the time the farmers adapted the millet seeds obtained from their crop hence to preserve the purity of seeds and quality of produce it is very important to classify different millet cultivars. However, the classification of millet cultivars is a complex and time-consuming process. Automation in millet cultivar classification becomes greatly beneficial with improved accuracy and efficiency. This study presents the effective classification of eight different millet cultivars using different machine-learning classifiers along with image processing techniques, based on the derived color features.
  • Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm
    Rima Prasad, Jitendra Musale, Dewendra Bharambe, Pranil Dhanke, Dhanashri Nagare, Pratiksha Nale
    Lecture Notes in Computer Science, 2025
  • IOT-Based Home Automation: Privacy and Security Challenges
    Vaibhav Shelke, Jitendra Musale, Devendra Bharambe, Himanshu Dhayarkar, Sudesh Nawale, Aviraj Sathe
    Lecture Notes in Networks and Systems, 2025

RECENT SCHOLAR PUBLICATIONS

  • Classification of Millet Cultivars Using Image Processing and Machine Learning Techniques
    D Bharambe, P Aher
    IEEE International Conference on Computational Communication and Information … , 2025
    2025
  • Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm
    R Prasad, J Musale, D Bharambe, P Dhanke, D Nagare, P Nale
    International Conference on Pattern Recognition, 226-238 , 2024
    2024
    Citations: 1
  • YOLO V-8 Based AI System for In-depth Tennis Match Analysis
    D Bharambe, V Rathod, D Rajput, S Sarode, S Devharkar
    Journal of Engineering Design and Computational Science (JEDCS) 3 (04) , 2024
    2024
  • OPEN AI DESKTOP ASSISTANT
    D Bharambe, A Maindarge, O Naik
    Journal of Engineering Design and Computational Science(JEDCS) 3 (1) , 2024
    2024
  • SCRAP DOCTOR: A RECYCLING APPLICATION
    D Bharambe, B Bavdhankar, S Balgude, R Nehete, N Bhilare
    International Journal of Novel Research and Development (IJNRD) 9 (04), b941 … , 2024
    2024
  • Analysis of Decision Tree Classification Methods Using WEKA
    D Bharambe, S Patil
    International Journal of Interdisciplinary Innovative Research &Development … , 2020
    2020
  • A Detection of Duplicate Records from Multiple Web Databases using pattern matching in UDD
    D Bharambe, S Jain, A Jain
    International Journal of Emerging Technology and Advanced Engineering … , 2013
    2013
  • A survey: detection of duplicate record
    D Bharambe, S Jain, A Jain
    International Journal of Emerging Technology and Advanced Engineering 2 (11 … , 2012
    2012
    Citations: 19

MOST CITED SCHOLAR PUBLICATIONS

  • A survey: detection of duplicate record
    D Bharambe, S Jain, A Jain
    International Journal of Emerging Technology and Advanced Engineering 2 (11 … , 2012
    2012
    Citations: 19
  • Plastic Waste Detection Using YOLOv5 Deep Learning Object Detection Algorithm
    R Prasad, J Musale, D Bharambe, P Dhanke, D Nagare, P Nale
    International Conference on Pattern Recognition, 226-238 , 2024
    2024
    Citations: 1
  • Classification of Millet Cultivars Using Image Processing and Machine Learning Techniques
    D Bharambe, P Aher
    IEEE International Conference on Computational Communication and Information … , 2025
    2025
  • YOLO V-8 Based AI System for In-depth Tennis Match Analysis
    D Bharambe, V Rathod, D Rajput, S Sarode, S Devharkar
    Journal of Engineering Design and Computational Science (JEDCS) 3 (04) , 2024
    2024
  • OPEN AI DESKTOP ASSISTANT
    D Bharambe, A Maindarge, O Naik
    Journal of Engineering Design and Computational Science(JEDCS) 3 (1) , 2024
    2024
  • SCRAP DOCTOR: A RECYCLING APPLICATION
    D Bharambe, B Bavdhankar, S Balgude, R Nehete, N Bhilare
    International Journal of Novel Research and Development (IJNRD) 9 (04), b941 … , 2024
    2024
  • Analysis of Decision Tree Classification Methods Using WEKA
    D Bharambe, S Patil
    International Journal of Interdisciplinary Innovative Research &Development … , 2020
    2020
  • A Detection of Duplicate Records from Multiple Web Databases using pattern matching in UDD
    D Bharambe, S Jain, A Jain
    International Journal of Emerging Technology and Advanced Engineering … , 2013
    2013