logo

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

Master of Computer Application

Achievements

# Name of Student Year Achievements
# Title Year Description
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 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
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 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 FDP/Workshops 2024 Participated in Online FDP “Data Analytics and Visualisation”
6 MOOC 2024 Completed MOOC from Udemy on Business Intelligence
# Title Year Description
1 FDP/Workshops 2023 Faculty Development Program on “Autonomy with National Education Policy Focus”
# Title Year Description
1 FDP/Workshops 2023 Faculty Development Program on “Autonomy with National Education Policy Focus”
2 Papers / Publications 2023 Published Paper on “Secure Bank Transaction using Blockchain Technology” Priyanka S. Rumane,International Journal of Advance Research in Science ,Communication & Technology(IJARSCT)
# Title Year Description
1 FDP/Workshops 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"
2 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)