A Smart Plant Maintenance System Designed for Real-Time Monitoring and Automatic Adjustment of Essential Conditions.pptx

Indoor plants rely on their owners to obtain essential components and an environment for growth and survival, so continuous supervision of these plants is necessary. An IoT-based plant maintenance system using ESP8266 is proposed to check the key environmental parameters of plants, such as temperature, humidity, soil moisture, light intensity, etc., and automatically perform the required steps to obtain the optimal conditions. The Blynk app is used to monitor these parameters in real time. This sustainable approach allows easy-to-handle maintenance of indoor plants, even when there is no one home, and encourages the integration of greenery in any house.

1. Page 1 /18 Presented by: Md Hasibul Hossain – 2021053 Asif Al Suny – 2021057 Partho Prosad - 2022371 Department of Electrical & Electronic Engineering INDEPENDENT UNIVERSITY, BANGLADESH EEE 318L PROJECT PRESENTATION Smart Plant Maintenance System Course Instructor: Khan Farhan Ibne Faruque

2. Page 2 /18 Background, Motivation and Objectives Methodology Circuit Components System Methodology Program Code Circuit Design Result Analysis Conclusion Outline

3. Page 3 /18 Indoor plants becoming widely popular in urban areas. Careful maintenance required since lack of sunlight inside. Cost-effective and efficient approach necessary for monitoring. IoT is getting popular for such applications. Background and Motivation

4. Page 4 /18 Real-time plant parameters monitoring. Automatic adjustment of parameters to ensure optimum conditions. Easy-to-use and low-cost system for users. Objectives

5. Page 5 /18 Circuit Components

6. Page 6 /18 Individual Component Connection

7. Page 7 /18 Circuit Design

8. Page 8 /18 Methodology Hardware Implementation Parameter Analysis Literature Review Analyze Output

9. Page 9 /18 System Methodology

10. Page 10 /18 Codes

11. Page 11 /18 Codes

12. Page 12 /18 Codes

13. Page 13 /18 Blynk Web and Mobile Interface

14. Page 14 /18 Result Analysis

15. Page 15 /18 Result Analysis

16. Page 16 /18 Result Analysis

17. Page 17 /18 A smart plant monitoring system proposed for real-time monitoring. Obtain data to automatically adjust essential conditions. Compact and low-cost system that can be implemented easily. Parameter history can be observed using mobile application. Summary

18. Page 18 /18 Any questions, comments or suggestions?