greenhouse monitoring engineering project.pptx

ece btech project

1. STANLEY COLLEGE OF ENGINEERING AND TECHNOLOGY FOR WOMEN (AUTONOMOUS), Abids, Hyderabad – 500 001 ( Affiliated to Osmania University & Approved by AICTE) (All eligible UG Courses are accredited by NBA & Accredited by NAAC with ‘A’ Grade) Department of Electronics and Communication Engineering       GREEN HOUSE MONITORING SYSTEM USING  IOT Internal guide Presented by:

2. CONTENTS Abstract Introduction Literature Review Block diagram Hardware/software used Flowchart Working Advantages and Limitations Results and discussion Future scope Conclusion References Acknowledgement

3. ABSTRACT Greenhouses are climate controlled structures with walls and roof specially designed for offseason growing of plants. Most greenhouse systems use manual systems for monitoring the temperature and humidity which can cause discomfort to the worker as they are bound to visit the greenhouse every day and manually control them. Also, a lot of problems can occur as it affects the production rate because the temperature and humidity must be constantly monitored to ensure the good yield of the plants. So the combination of IoT and embedded technology has helped in bringing solutions to many of the existing practical problems over the years. The sensors used here are LDR sensor, moisture sensor and DHT11. From the data’s received, L23D9 Motor automatically controls light intensity, Moisture, Temperature, Humidity efficiently inside the greenhouse by actuating an LED lights, water pump and cooling fan respectively according to the required conditions of the crops to achieve maximum growth and yield. The recorded temperature and humidity are stored in a cloud database (Adafruit.io), and the results are displayed in a webpage, from where the user can view them directly .

4. INTRODUCTION A Greenhouse, which is a exceptionally outlined homestead structure. This gives a more controllable environment to a better crop security, transplantation, harvest generation and product seeding. The previous techniques included manual checking , in this internship project we have prepared a prototype that automatically manages and controls the greenhouse using sensors. In this internship project, we have proposed a system which can read the parameters data from the environment which is identified within the Greenhouse and will be controlled manually or by Android UNO which we have used. In the cloud data will be stored for future use. The relationship between reference estimations and sensor flags, breaking down the developments, the natural variables which are uncovered and advancement of yields are explorated by strictly observing climate changing conditions. This expands the efficiency of laborers by empowering them for the more important assignments, electrical expenses and heating fuel, empowering producers and directors to settle on better administration choices and to invest more on the energy dealing with procedures can be decreased by practicing exact control over the system.

5. LITERATURE REVIEW S.No Year Name of the author Title of the paper Important findings 1. 2021 Pandu Naik, Sujana Sr, Amal Murali, Sagar Shetty, Sanjana Vasu Naik Greenhouse Monitoring and Control System based on IOT Greenhouse and will be controlled manually or by Android app which we have developed. 2 . 2021 Sujin J S, R Murugan,M Nagarjun, Akash K Praveen IOT Based Greenhouse Monitoring and Controlling System This system can check for fire proximity and also strength of light. 3. 2021 Tung Cao Pham,  Hein Bich Vo, Nhu Quag Nhan A Design of Greenhouse Monitoring System Based on Low-Cost Mesh Wi-Fi Wireless Sensor Network This system is based on the Mesh Wi-Fi Networking with low-cost and resource-limited hardware-ESP8266 Platform. 4. 2021 Mh.Aghaseyedabdollah, Y.Alaviyan, A.Yazdizadeh IoT Based Smart Greenhouse Design with an Intelligent Supervisory Fuzzy Optimized Controller The introduced ISFC checks data and prevents plant damage and also has an alarming system to notify users. 5. 2021 Venkat Rao Pasupuleti, M.Surya Pravallika, K.Spandana; Syed Jalal An IoT based Embedded System for Monitoring and Control of Greenhouse parameters The paper presented an extra feature of detecting the smoke and gas through sensors.

6. BLOCK DIAGRAM

7. HARDWARE USED ARDUINO UNO NODEMCU L293D MOTOR DRIVER DTH11 SENSOR SOIL MOISTURE SENSOR LDR SENSOR MINI WATER PUMP DC FAN LED LCD DISPLAY USB CABLES 5V BATTERY

8. SOFTWARE USED ARDUINO IDE ADAFRUIT.IO PROTEUS 8.13

9. ARDUINO UNO NODEMCU Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. The NodeMCU ESP8266 is an extensively employed development board in IoT applications, providing a versatile and cost-effective approach to connect devices to the internet. It features Wi-Fi and programming capabilities, facilitating speedy prototyping and deployment of IoT solutions. HARDWARE USED

10. L293D MOTOR DRIVER DTH11 SENSOR The L293D is designed to provide bidirectional drive currents of up to 600-mA at voltages from 4.5 V to 36 V. Both devices are designed to drive inductive loads such as relays, solenoids, DC and bipolar stepping motors, as well as other high-current/high-voltage loads in positive-supply applications. The DHT11 is a basic, ultra low-cost digital temperature and humidity sensor. It uses a capacitive humidity sensor and a thermistor to measure the surrounding air, and spits out a digital signal on the data pin (no analog input pins needed).

11. SOIL MOISTURE SENSOR LDR SENSOR This sensor mainly utilizes capacitance to gauge the water content of the soil (dielectric permittivity). The working of this sensor can be done by inserting this sensor into the earth and the status of the water content in the soil can be reported in the form of a percent. LDRs are tiny light-sensing devices also known as photoresistors . An LDR is a resistor whose resistance changes as the amount of light falling on it changes. The resistance of the LDR decreases with an increase in light intensity. This property allows us to use them for making light sensing circuits.

12. LCD DISPLAY An LCD (Liquid Crystal Display) screen is an electronic display module and has a wide range of applications. A 16x2 LCD display is very basic module and is very commonly used in various devices and circuits. A 16x2 LCD means it can display 16 characters per line and there are 2 such lines.

13. SOFTWARE USED ARDUINO IDE ADAFRUIT.IO Arduino Integrated Development Environment (IDE) is an open source IDE that allows users to write code and upload it to any Arduino board. Arduino IDE is written in Java and is compatible with Windows, macOS and Linux operating systems. Adafruit.io is a cloud service - that just means we run it for you and you don't have to manage it. You can connect to it over the Internet. It's meant primarily for storing and then retrieving data but it can do a lot more than just that.

14. FLOWCHART

15. WORKING The prototype is switched on by giving the power supply. Arduino UNO is the primary component connected to the other sub-components. There are three sensors used in this project, soil moisture sensor, LDR sensor and DTH11 sensor. Soil moisture sensor is used to observed whether the soil is moist or dry. If it’s dry, the water pump connected to the L23D9 motor driver turns on to supply water. LDR sensor is the light intensity sensor which is used to note whether it is dark or bright. In darkness the sensor turns on the LEDs. DTH11 is the temperature and humidity measurement sensors. When the temperature is above 40 degree Celsius and when humidity crosses 65% , the DC fan turns on.

16. The Node MCU is an open source IoT platform , which helps in sending the data of the sensors to the IoT cloud. So that the greenhouse system is timely monitored without any manual efforts. In the project we used ADAfruit.io platform , where the sensor data was stored. Also, the LCD displays the data such as temperature, soil moisture , darkness and brightness of the atmosphere. In this system, the moisture of the soil, temperature and light intensity of the place will maintained automatically. This can bring farmer to connect a real digital technology to increase gain productivity of crop, where we actual need to use technology for development.

17. ADVANTAGES An automated greenhouse monitoring system helps to keep an eye on all the parameters of a greenhouse including heat, light, humidity, soil moisture level to protect plants from extreme indoor weather conditions. Optimize their greenhouse management and achieve maximum plant growth and yield. With IoT, greenhouse operators can access the monitoring system remotely through their smartphones or computers. IoT greenhouse systems can send automated alerts and notifications in case of any abnormal conditions, such as temperature fluctuations, high humidity, or low water levels. The collected data can be analyzed and used to make data-driven decisions, helping greenhouse operators identify patterns, trends, and best practices for optimal crop growth.

18. LIMITATIONS Extreme weather conditions or physical obstructions can interfere with wireless communication between sensors and the central system, potentially affecting data collection and transmission. Without proper security measures, the system may be susceptible to hacking, data breaches, and unauthorized access, compromising sensitive greenhouse data. Implementing an IoT and embedded greenhouse monitoring system can involve significant upfront costs for acquiring sensors, hardware, and infrastructure. Both IoT devices and embedded systems require a continuous power source to function. In the event of a power outage, the monitoring system may become non-functional, potentially putting the crops at risk.

19. RESULTS 1 - (SOIL MOISTURE) The soil moisture sensor when submerged into soil , the result is display on the LCD as well as the IoT cloud as shown in the above figures.

20. RESULTS 2 – (DARKNESS/BRIGHTNESS) The LDR sensor detects the light intensity in the atmosphere. It enables the LED to turn on when there is darkness and it remains off when the atmosphere is bright.

21. RESULTS 3-(TEMPERATURE AND HUMIDITY) The temperature and humidity is sensed by the DTH11 sensor and the DC fan turns on to stabilize the atmosphere. Also the temperature and humidity readings are displayed on the IoT website.

22. FUTURE SCOPE We can implement this project by adding other sensors such as pH sensors, flame sensors. It can further be developed using Artificial Intelligence and Machine Learning. Greenhouse monitoring system can be further developed using different mechanism to predict or detect crop disease.

23. CONCLUSION A smart greenhouse monitoring system has been implemented successfully using the concept of IoT which can prove to be a boon for agriculture sector. The traditional system for greenhouse monitoring is labour-intensive and time consuming. The proposed system saves time, money and human effort. It provides a controlled environment for the plants and thus increase the overall yield. The smart greenhouse automatically optimizes the various parameters for the plant growth. It sends the real time data of parameters to the IoT website for continuous and effective monitoring.

24. REFERENCES IEEE paper, "Greenhouse Monitoring and Control System based on IOT”, published by Pandu Naik, Sujana Sr, Amal Murali, Sagar Shetty, Sanjana Vasu Naik in the year 2021. The Journal of Physics paper, “IOT Based Greenhouse Monitoring and Controlling System”, published by Sujin J S, R Murugan,M Nagarjun, Akash K Praveen in the year 2021. IEEE paper, “A Design of Greenhouse Monitoring System Based on Low-Cost Mesh Wi-Fi Wireless Sensor Network” was published by Tung Cao Pham, Hein Bich Vo, Nhu Quag Nhan in the year 2021. IEEE paper, “IoT Based Smart Greenhouse Design with an Intelligent Supervisory Fuzzy Optimized Controller” published by Mh.Aghaseyedabdollah, Y.Alaviyan, A.Yazdizadeh in the year 2021. IEEE paper, “An IoT based Embedded System for Monitoring and Control of Greenhouse parameters”, published by Venkat Rao Pasupuleti, M.Surya Pravallika, K.Spandana, Syed Jalal in the year 2021.

25. ACKNOWLEDGEMENT This is an acknowledgement of the intensive drive and competence of everyone who has contributed to the success of our internship. We are extremely grateful to our respected Principal Dr. Satya Prasad Lanka , for fostering an excellent academic climate in our institution and we also express our sincere gratitude to our respected Head of the Department Dr. Kedar Nath Sahu , for his encouragement, able guidance and effort in bringing out this Internship. We are deeply indebted to our internal guide Ms. Divya Shamlet, Assistant Professor , for her guidance, encouragement, co-operation and kindness during the entire duration of the course and academics.