Research Paper Report

Deep Learning-Based Indoor Plant Disease Detection: A Comprehensive Study with Mobile Application Framework for Urban Environments

Date of Submission
29th Apr 2026

General Information:

Year Of Paper Submission : 2025-26
Type of Applicant : Student
Selected Course : PG
Department of Applicant : MCA
Class of Applicant : S.Y.MCA

Applicants Details:

UCID of Applicant : 2024510033
Applicant Name : Eileen Mascarenhas
Applicant Email : eileen.mascarenhas24@spit.ac.in
Applicant Contact Number : 8454833407
UCID of Applicant No. 2 : 2024510067
Applicant No. 2 Name : Vedant Vaidya
Applicant No. 2 Email : vedant.vaidya24@spit.ac.in
Applicant No. 2 Contact Number : 9270735616
UCID of Applicant No. 3 : 2024510051
Applicant No. 3 Name : Aditi Salvi
Applicant No. 3 Email : aditi.salvi24@spit.ac.in
Applicant No. 3 Contact Number : 9321259200

Guide Details:

Department of Guide No. 1 : Computer Engineering
Name of First Guide : Dr. Dhananjay Kalbande
Department of Guide No. 2 : Computer Engineering
Name of Second Guide : Dr. Dhananjay Kalbande

Paper Details:

Title of Paper : Deep Learning-Based Indoor Plant Disease Detection: A Comprehensive Study with Mobile Application Framework for Urban Environments
Type of Paper : national
Type of Publication : national
Name of the Conference/journal/publisher : INDIACom‑2026 20th INDIACom; 2026 – 13th International Conference on Computing for Sustainable Global Development
Date Of Conference / Journal / Book : 2026-04-10
Conference_Type : ieee
Name of the Hosting Institute of the Conference : Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM) New Delhi, India
Address of Host Institute : Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), A‑4, Paschim Vihar, Rohtak Road, New Delhi – 110063, India
ISBN : N/A
Indexed : Yes (Scopus, IEEE Xplore)