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Matoshri Education Society's

Matoshri College of Engineering & Research Centre, Eklahare, Nashik

An Autonomous Institute

Approved by All India Council for Technical Education, New Delhi Affiliated to Savitribai Phule Pune University, College Code:5177

Achievements

# Title Name of Student Achievements
1 Disha Patil 2025-26 NPTEL Course “Exploratory Data Analysis for Data Science Using R Software”
2 Sujata Bhamare 2025-26 NPTEL Course “Exploratory Data Analysis for Data Science Using R Software”
3 Kalyani Sonawane 2025-26 NPTEL Course “Exploratory Data Analysis for Data Science Using R Software”
# Category Year Description Link
1 Patents 2023 Method And System For Predicting Grape Disease Using IoT Sensors And Machine Learning Published on : 13/10/2023 and Application No.202321059744 A. -
2 Copyrights 2023 GRAPE DISEASE PREDICTION USING IOT AND MACHINE LEARNING Literary work filed: 25/07/2023. Diary No: 19402/2023-CO/L, Certificate No. L-133491/2023 -
2021 GRAPE Prediction of crop diseases using machine learning approaches Literary work filed: 20/09/2021. Diary No: 22644/2021-CO/L, Certificate No. L- 109577/2021 /07/2023. Diary No: 19402/2023-CO/L, Certificate No. L-133491/2023 -
3 Book Chapters - Analyzing Various Grape Diseases and Detection Techniques by Monitoring Environmental Parameters through IoT and Machine Learning Approaches (310124-014819), Scopus -
4 Papers / Publications 2026 International Conference on Application of Machine Intelligence & Data Analytics (ICAMIDA)
(Best Paper Award) Introduction to AI security: Understanding prompt injection Attacks://dx.doi.org/10.2139/ssrn.4550573 , Impact factor 4.0, Science Citation Index Expanded (SCIE) and Web of Science( WoS)
- A brief study on the prediction of crop disease using machine learning approaches, DOI: 10.1109/ICCICA52458.2021.9697143. IEEE, Technically sponsored by IEEE Bombay Section. ISBN Information: Electronic ISBN:978-1-6654-2040-2. Link: https://ieeexplore.ieee.org/document/9697143, Scopus -
Early prediction of grape disease attack using a hybrid classifier in association with IoT sensors in Heliyon Journal by Elsevier HELIYON-D-23-36681. http://dx.doi.org/10.2139/ssrn.4550573 , Impact factor 4.0, Science Citation Index Expanded (SCIE) and Web of Science( WoS) -
A brief study on the prediction of crop disease using machine learning approaches, DOI: 10.1109/ICCICA52458.2021.9697143. IEEE, Technically sponsored by IEEE Bombay Section. ISBN Information: Electronic ISBN:978-1-6654-2040-2. Link: https://ieeexplore.ieee.org/document/9697143, Scopus -
Analysis of Crop Diseases Using IoT and Machine Learning Approaches Springer Paper on DOI: 10.2991/978-94-6463- 136-4_10 Scopus -
Grape Plant Disease Classification by Analyzing Efficient Machine Learning Algorithm International Journal for Modern Trends in Science and Technology 2023, 9(08), pages. 39-44. https://doi.org/10.46501/IJMTST0908007. -
5 Training Programs / FDPs / Certificate Courses 2025 Generative AI for Scientific Research, Data Augmentation and Interdisciplinary Applications
2024 Participated in Online FDP “Data Analytics and Visualisation”
6 MOOC 2025 Python For Data Science
2024 Completed MOOC from Udemy on Business Intelligence
# Category Year Description Link
1 Training Programs / FDPs / Certificate Courses 2023 Faculty Development Program on “Autonomy with National Education Policy Focus” -
# Category Year Description Link
No achievements found.
# Category Year Description Link
1 Papers / Publications 2023 Published Paper on "Automatic Sign Detection and Recognition" Mayur S. Bose , International Journal for Scientific Research & Development, (IJSRD-2023) -
Published Paper on "Automatic Sign Detection and Recognition" Mayur S. Bose , International Journal of Recent and Innovation Trends in Computing & Communication,(IJRITCC-2023) -
2 Training Programs / FDPs / Certificate Courses 2024 Faculty Orientation Workshop on “Implementation of Choice Based Credit System(CBCS) Syllabus under National Education Policy(NEP) for Computer Science” -
2023 Workshop on "Data Analyst" -
# Category Year Description Link
No achievements found.