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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45364

Plant care web Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45364

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KGD

Kartika Gulabrao Dabhade

KBA

Karina Baban Aher

RMP

Ridhima Mahesh Patil

SDH

Sukanya Dipak Hire

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Abstract

This paper presents the development of a smart web-based plant care application designed to assist users in maintaining the health of their plants through watering reminders, plant disease detection using AI, and environmental monitoring via IoT sensors. The system provides users with real-time data, personalized alerts, and an intuitive interface to track and manage their plants efficiently. By leveraging modern technologies like machine learning and IoT, the application promotes sustainable and informed plant care practices for hobbyists, gardeners, and urban agriculturalists.

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Cite This Article

Kartika Gulabrao Dabhade, Karina Baban Aher, Ridhima Mahesh Patil, Sukanya Dipak Hire, "Plant care web Application," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

4/22/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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