Plant sense AI watering system

Mugdha Purnapathre , Riddhima Shirsath , Devyani Sakhare , Manashri Umrikar , Dr S B Dhoot

Soil moisture , manual watering , irrigation , IOT

Maintaining optimal soil moisture is crucial for plant health and growth, yet many gardeners find manual watering tiring and time-consuming. The “Plant Sense AI Watering System” addresses this issue by automating the irrigation process, utilizing Arduino technology and soil moisture sensors to ensure plants receive adequate water without constant human intervention. The primary objective of this project is to develop an efficient and sustainable solution for plant irrigation. By continuously monitoring soil moisture levels, the system can activate a water pump when moisture falls below a predefined threshold. This automation enhances plant care convenience and significantly reduces water wastage, promoting more sustainable gardening practices. The methodology adopted includes integrating various components, such as an Arduino microcontroller, soil moisture sensors, and a water pump. The sensors measure the moisture content in the soil and relay this data to the Arduino, which processes the information and triggers the pump as needed. Initial tests indicate a marked improvement in maintaining optimal moisture levels, resulting in healthier plant growth and reduced water usage.

Published Paper   E-Certificate

"Plant sense AI watering system", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b526-b529, March-2025, Available :https://ijsdr.org/papers/IJSDR2503164.pdf

Volume 10 Issue 3, March-2025

Pages : b526-b529

Paper Reg. ID: IJSDR_301116

Published Paper Id: IJSDR2503164

Downloads: 000193

Research Area: Science and Technology

Country: Chhatrapati Sambhajinagar, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503164

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503164

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition