This presentation aims to introduce an effecient IOT-based water quality monitoring and automated watering system. The system is designed to improve plant care by providing accurate water quality data and automating the watering process. With this system, we aim to revolutionize the way we care for plants.

1. Revolutionizing Plant Care:
An IOT-Based Water Quality
Monitoring and Automated
Watering System.

2. Team
Md Tanvir Mahtab
Reg. No. 2019339054
Lavana Parveen
Reg. No. 2019339016
Chi (χ)

3. Table Of Contents
1. Introduction
2. Problem statement and Proposed Solution
3. Requirements and Budgeting
4. Methodology
5. Future Upgradation
6. Conclusion

4. This presentation aims to introduce an
Effecient IOT-based water quality
monitoring and automated watering
system. The system is designed to improve
plant care by providing accurate water
quality data and automating the watering
process. With this system, we aim to
revolutionize the way we care for plants.
Introduction

5. We collect urban wastewater samples from
various sources and use a range of sensors to
monitor water quality. The data is displayed
on an LCD screen and securely stored in a
cloud-based system connected to the Internet
of Things (IoT) infrastructure. Our project
focuses on automating plant care for both
home gardens and large-scale agriculture,
using technology to ensure plant health with
automated irrigation and sending digital
notifications to keep users informed about
their plants, even in water-scarce conditions.
Problem Statement
and Proposed Solution

6. Requirements
and Budgeting
We developed this budget by referencing
the prices of various components from,
RoboticsBD
TECHSHOPBD.com
Total estimated cost for this project is 9520.32 tk.

7. Methodology
Our system uses sensors to
measure the water quality and
detect when plants need
watering and automatically
waters them. This ensures that
plants receive the right amount
of water, preventing over or
under watering. The system also
saves time and reduces water
waste.

8. Operational
configuration

11. Figure. Circuit Diagram for Water Quality Measurement

12. Future Developments
1. Filtration process can be integrated to model
along with water storage.
2. Image Processing can be added by training
model with OpenCV to detect different types of
pesticide and automate pesticide sprinkling.
3. Integration with machine learning algorithms,
This could lead to even more accurate plant care
and water quality data, as well as improved
automation and customization.

14. Conclusion
Our IOT-based water quality monitoring and automated
watering system is a innovative way to care for plants.
The system provides accurate water quality data,
automates the watering process, and promotes
sustainable plant care practices. With easy installation,
compatibility with a wide range of plants, and cost-
effectiveness, our system is the future of plant care.

15. References
1. Thilina Balasooriya, Pranav Mantri, "IoT-Based Smart Watering System Towards Improving the
Efficiency of Agricultural Irrigation" IEEE Global Conference on Artificial Intelligence and Internet of
Things (GCAIoT), 12-16 December 2020
2. Manish Kumar Jha, Rajni Kumari Sah, "Smart Water Monitoring System for Real-Time Water Quality
and Usage Monitoring" International Conference on Inventive Research in Computing Applications
(ICIRCA), 11-12 July 2018
3. Swapnil Bhardwaj; Saru Dhir, "Automatic Plant Watering System using IoT" Second International
Conference on Green Computing and Internet of Things (ICGCIoT), 16-18 Aug. 2018
4. Monira Mukta, Samia Islam, Surajit Das Barman, Ahmed Wasif Reza, "Iot based Smart Water Quality
Monitoring System" IEEE 4th International Conference on Computer and Communication Systems
(ICCCS), February 20190

16. Thanks!
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