Ministry of Education
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Dr Vaishali Nirgude

vidwan id: 398575
Female

Assistant Professor, Department of Computer Engineering
Thakur College of Engineering & Technology, Kandivli (E) Mumbai

Orchid Icon 0000-0001-7320-802X Google Scholar Icon 57223613289 Google Scholar Icon OgTzxDMAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 25
Books 0
Proceedings 0

Publications

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Scopus

Citations 3
h-index 1

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Citations 0
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Professional Recognition

2023

15th Aavishkar 2023, 1st Position, under PPG category, Research Fellowship

State Government
2022

Won Gold medal, 17th Aavishkar project competition 2023

Mumbai University

Community & Membership

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Bio

Machine Learning, Deep Learning, IoT, Microprocessor

Personal Details

  • Female
  • Assistant Professor , Thakur College of Engineering & Technology, Kandivli (E) Mumbai
  • Department of Computer Engineering, Thakur College Of Engineering And Technology
BE, ME, PhD Pursuing (Computer Engineering)
Other Institute 2013
Assistant Professor Aug 2007 – Present
Thakur College of Engineering & Technology, Kandivli (E) Mumbai | Department of Computer Engineering

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Co-Authors (2)

Brajkishor

Dr Brajkishor Mishra

Thakur College of Engineering & Technology, Kandivli (E) Mumbai

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Prof Sheetal Rathi

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Scholarly Work

i-PomDiagonser: A real time Pomegranate management System

Funding Agency: State Goverment

Principal Investigator

120,000

2023 - Ongoing

Ongoing
IoT based fire fighting robot

Funding Agency: Mumbai University

Principal Investigator

25,000

2017 - 2018

Completed
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A Real-Time Pomegranate Disease Management System for Pomegranate Diseases Detection, Prediction, And Classification

Vaishali Nirgude
Dr. Sheetal Rathi
Engineering and Technology Patent No. : 202022105121 Filed : 07-07-2022
Published : 19-09-2023 Granted

Scholarly Publications

Automated Classroom Enhancements

Open Access
article
Year: 2022. Volume: 9 , Pages: 6 .
Authors: Harshkumar Tiwari, Nimesh Tripathi, Swastik Sharma, Vaishali Nirgude

An Extensive Survey on Deep Learning Approach for Crop Diseases Management

Open Access
Conference Paper
Year: 2021. Volume: 1375 AIST , Pages: 638-648 .
Authors: Nirgude V.;Rathi S.
2

A Robust Deep Learning Approach to Enhance the Accuracy of Pomegranate Fruit Disease Detection under Real Field Conditions

Open Access
article
Journal of Experimental Biology and Agricultural Sciences. Year: 2021. Volume: 9(6), 863–870 , Pages: 863–870 .
Authors: Vaishali Nirgude, Sheetal Rathi
DOI 10.18006/2021.9(6).863.870.

A ROBUST DEEP LEARNING APPROACH TO ENHANCE THE ACCURACY OF POMEGRANATE FRUIT DISEASE DETECTION UNDER REAL FIELD CONDITION

Open Access
article
Journal of Experimental Biology and Agricultural Sciences. Year: 2021. Volume: 9 , Pages: pp--863 .
Authors: Vaishali Nirgude, Sheetal Rathi

An Extensive Survey on Deep Learning Approach for Crop Diseases Management

Open Access
inproceedings
Year: 2021. Pages: 638--648 .
Authors: Nirgude, Vaishali and Rathi, Sheetal

Fostering Progressive Experiential Learning Approach to Make Engineering Students Future Ready

Open Access
Article
Journal of Engineering Education Transformations. Year: 2021. Volume: 35 , Issue: Special Issue 3 , Pages: 105-112 .
Authors: Rathi S.;Nirgude V.
DOI 10.16920/jeet/2022/v35is3/22146

A ROBUST DEEP LEARNING APPROACH TO ENHANCE THE ACCURACY OF POMEGRANATE FRUIT DISEASE DETECTION UNDER REAL FIELD CONDITION

Open Access
Article
Journal of Experimental Biology and Agricultural Sciences. Year: 2021. Volume: 9 , Issue: 6 , Pages: 863-870 .
Authors: Nirgude V.;Rathi S.
DOI 10.18006/2021.9(6).863.870
1

A Review on Smart Farming using Machine Learning Approach

Open Access
incollection
Year: 2020.
Authors: Vaishali Nirgude, Sheetal Rathi