We hereby declare that this project was carried out by us under the supervision of Mrs. We also declare that neither this project nor any part of this project has been submitted elsewhere for the award of any degree or diploma. I would like to express my gratitude to Almighty Allah for His blessings that enabled me to successfully complete the research project.
Syed Akhter Hossain, Head, Department of CSE, for his participation in the validation survey for this research project. Home afforestation (like gardening) on the roof, balcony and living room has become common in urban areas nowadays, because there are less land resources to plant trees.
INTRODUCTION 1.1 Introduction
- Motivation
- Rationale of the Study
- Research Questions
- Expected Output
- Repot Layout Chapter 1: Introduction
- Background
- Research method
All garden parameters such as humidity, temperature, soil moisture and light intensity are monitored by the system and this data is uploaded to the cloud. Eco Friend (the device itself) continuously monitors the conditions in the garden and collects any change of information that requires immediate actions for the garden and advises the user. He wondered how they would match the beauty of his balcony, and he discovered that they would make quite an impression.
Using the database, a user can learn which plants fit the criteria of his home environment and necessity (based on purpose, e.g. Through this research, gardening is taken to a whole new level by implying data mining techniques on home environment In this chapter, we discussed the motivation, objectives and the expected outcome of the project.
I also mentioned related work, comparative studies, problem scope and project challenges. In this chapter, we discussed requirements such as the project use case model and their descriptions, the logical data model, and the design requirements.
BACKGROUND 2.1 Introduction
- Related Works
- Research Summary
- Scope of the Problem
- Challenges
- Hardware Requirements
- NodeMCU 1.0 (ESP 12E)
- DHT11
- Capacitive Soil Moisture Sensor v1.2
- Digital Light intensity sensor module
- Nokia 5110 LCD Display
- Push Button
- Jumper wires
- Parts Bill
- Software Requirements
The above image describes the json data retrieved from the server and previously posted using the Eco Friend IoT device. It's incredibly easy to use and libraries and sample codes are accessible for Arduino and Raspberry Pi. It has high reliability and glorious long stability, thanks to the exclusive digital signal acquisition technique and temperature sensor technology.
Soil moisture device measures soil moisture levels by electrical phenomenon sensing instead of resistive sensing like alternative sensors on the market. Insert it into the soil around your plants and impress your friends with real-time soil moisture data. This soil moisture unit is compatible with our 3-pin "Gravity" interface, which can be directly connected to the Gravity I/O expansion shield.
This IC is most suitable for obtaining ambient light information to adjust the power of the liquid crystal display and keyboard illumination of mobile phones. It uses the PCD8544 controller, which is the same as the Nokia 3310 liquid crystal display.
RESEARCH METHODOLOGY 3.1 Introduction
Research Subject and Instrumentation Subject: Data mining on Home Forestation using IoT
Data Collection Procedure .1 Flowchart
- Diagram
- Circuit Diagram
- Statistical Analysis
There are five different parameters that show how much influence the environment has on plants. The scatter plot shows the light scattering values which makes it easier to understand the result. The above statistics show that the light intensity was weak at the beginning which was around 0.
The scatter graph shows that the temperature was mostly 29 degrees Celsius and in a few cases it rose up to 30 degrees Celsius. It shows a huge difference between how long it was dry and how much time it was wet. In the same data set, the plant remained alive for twenty-five hundred times and died in an environment of 5.
The above bar graph indicates that the live value of the plant was read about 2500 times, while the dead or weak data was covered 5 times.
Implementation Requirements
Data Collection: Use of IoT device to draw the environment data for the server
Sorting and remove data: After collecting data I have to sort the data and remove irrelevant data
Algorithms: Applying different types of algorithms to evaluate the data
- Experimental Results
- Descriptive Analysis
- Summary
The experiment first started with Arduino UNO, LDR, dht11, soil moisture sensor, 16x2 LCD. Which means I had to use a Wi-Fi module to log every plant record. But since there was no built-in Wi-Fi module, it was really difficult to continue the experiment.
During debugging through the serial monitor, it was found that the sensor would read error data if the sensor read data within 1203 Milli seconds. The soil moisture sensor, which was used earlier, seems to have corroded after a while. After debugging the problem, it was decided to switch back to another server called Laravel or PHP.
While trying to work with multiple datasets, it was difficult to implement the dataset directly using Laravel framework's php. For now I had to stick with basic data range operation. A connection indicates that the plant is alive, on the other hand a disconnection indicates that the plant is dead or withered.
After collecting all the data from the sensors, a get request is formed consisting of the values. In this world, there was a time when most places in the country were covered with forest.
SUMMARY, CONCLUSION, RECOMMENDATION AND IMPLICATION FOR FUTURE RESEARCH
- Summary of the Study
- Conclusions
- Recommendations I recommend,
- Implication for Further Study
Commercial area: Considering the operations that can be performed with the device can help create more innovative devices based on the home gardening system. Potential economic growth: Helping with home gardening can lead to more efficient and healthier lives for citizens. Plant Monitoring: With a few additional modules and devices, the device can be turned into a plant management system, where it will recommend to the user the plants that are most suitable for their environment.
Plant Manager: The device will monitor whether the plant is getting proper water and light. If not, it will provide light and water by itself without any interactions from the actual user. Using pH sensor: using pH sensor, the device can recommend users the right name and amount of fertilizer needed.
Use of soil element test sensor: Although the soil element test sensor is still under development, or only used in industrial sectors.
Appendices Appendix A: Research Reflection
Datamine Process using Python
JSON Output
PLUGIARISM REPORT
