A final year project on “IoT based Green House monitoring using raspberry pi” submitted by Vanapalli Satyavati (from Andhra Loyola institution of engineering and technology) to extrudesign.com.
A greenhouse gives a climate to develop plants lasting through the year, even on cold and shady days. Thus, controlling this climate is fundamental all together for the plants to develop further and healthy. This task aims to plan and assemble a greenhouse regulator that can keep up with the climate and have the option to show the situation with the framework to the proprietor. The venture was parted into two sections: Programming a raspberry PI 3 utilizing Python language to go about as the focal centre point that deals with the different sensors, Creating a site to permit the client to connect with the greenhouse regulator, This work exhibits a Web-Based climatic condition observing every one of the boundaries that are needed to develop plants.
Key Words: Raspberry Pi, IOT webpage, greenhouse monitoring, Temp sensor, soil moisture sensor, Water Level Sensor, LDR etc…
A greenhouse (also called a glasshouse or a hothouse) is a building or complex in which plants are grown . With this framework, users can distantly screen the Greenhouse climatic conditions from any place which could save human costs. Climatic condition monitoring is one type of recorder This system monitors the temperature, Water level, moisture gas level, rain, soil moisture, humidity and light in a greenhouse room and stores the data into a database and display the current temperature on the website through a web server. A greenhouse provides an environment to grow plants all year round, even on cold and cloudy days. However, extreme environmental factors inside the greenhouse such as high temperatures and high humidity can negatively impact the plants. The system consists of various sensors, namely soil moisture, temperature, water level and light sensors etc. These sensors sense various parameters and are then sent to the Raspberry pi… Hence the greenhouse environment is controlled automatically using these sensors. The purpose of this project was therefore to make it easier to grow food at home. A greenhouse makes it possible to replicate a different climate and consequently grow food that would not typically grow in the area. Additionally, making the greenhouse automated enables people to grow their own food or plants at home without having to constantly look after them.
II. Literature Survey
Ravi Kishore Kodali, Vishal Jain and Sumit Karagwal suggested IOT based smart greenhouse system for improvement in farming. They have used a microcontroller for controlling the output of various sensors. Fogger has used which will sprinkle tiny water droplets of size micron which will remain suspended in the air and bring the temperature down. The underground tank is made for storing the water and that is used for plants through drip irrigation. The storage house would be there for storing fruits or vegetables and the farmer will swipe an RFID tag and the data from all containers will be updated on a Google spreadsheet and e-mail will be sent to an e-commerce website to save farmers from middlemen., Kiran Ganesan, Uzma Walpole suggested Raspberry-Pi Based Automated Greenhouse A greenhouse provides an environment to grow plants all year round, even on cold and cloudy days. However, extreme environmental factors inside the greenhouse such as high temperatures and high humidity can negatively impact the plants. Consequently, controlling this environment is essential for the plants to grow strong and healthy. This project aims to design and build a greenhouse controller that can maintain the environment, by acting upon live sensor readings and be able to display the status of the system to the owner.
III. Existing Green House Monitoring System
The existing system used Arduino as their processor for controlling all the input sensors and to process the data to get the required outputs but they have chosen Bluetooth as their wireless connection but it is range limited and there are some more limitations to be overcome so we have modified all the limitations in this project.
IV. Proposed Green House Monitoring System
The proposed system helps in demonstrates the design and implementation of various sensors for greenhouse environment monitoring and controlling.
Power Supply requred for Green House Monitoring System
This system requires a 5V power supply. We can use a battery, portable charger, micro USB as the input power supply.
The temperature sensors are precision integrated-circuit sensors, whose output voltage is linearly proportional to the Celsius (Centigrade) temperature. used raspberry pi, Wi-Fi, web server in their system. Light intensity-based most of the devices can be controlled. Most of the time to differentiate between day and night time, measuring light from sunlight is essential. Where light measurement and analysis is an important step in ensuring efficiency and safety. The temperature sensor senses the level of temperature. If it goes high DC fans get on and when the temperature goes low the fan gets off.
A gas sensor is a gadget that identifies the presence or convergence of gases in the air. Because of the convergence of the gas, the sensor creates a relating possible contrast by changing the obstruction of the material inside the sensor, which can be estimated as yield voltage. In light of this voltage esteem, the sort and grouping of the gas can be assessed. These comparators can be set for a specific limit worth of gas focus. At the point when the convergence of the gas surpasses this limit, the advanced pin goes high. The Analog pin can be utilized to gauge the convergence of the gas.
Light Dependent Resistor
In the absence of light, the LDR sensor senses and the bulb starts glowing when light falls on the LDR then the resistance decreases, and increases in the dark. When an LDR is kept in the dark place, its resistance is high and, when the LDR is kept in the light its resistance will decrease.
A fire detector works by detecting smoke and/or heat. These devices respond to the presence of smoke or extremely high temperatures that are present with a fire. After the device has been activated and fire is detected then automatically the water sprinkler on
A rain sensor is composed of a rain detection plate with a comparator who manages intelligence. The rain sensor detects water that comes short-circuiting the tape of the printed circuits. The sensor acts as a variable resistance that will change status: the resistance increases when the sensor is wet and the resistance is lower when the sensor is dry.
Water Level Sensor
Level sensors are used to detect the level of substances that can flow. Such substances include liquids, slurries, granular material and powders. Level measurements can be done inside containers or it can the level of a river or lake.
Light Dependent Resistor
This sensor measures the volumetric content of water inside the soil and gives us the moisture level as output. The soil moisture sensor consists of two probes that are used to measure the volumetric content of water. The two probes allow the current to pass through the soil and then it gets the resistance value to measure the moisture value.
Humidity Sensor is one of the most important devices that has been widely in consumer, industrial, biomedical, and environmental etc. applications for measuring and monitoring Humidity. Humidity is also a major factor in operating sensitive equipment like electronics, industrial equipment, electrostatic sensitive devices, high voltage devices, etc. For measuring humidity, the humidity sensing component is used which has two electrodes with moisture holding substrate between them. So as the humidity changes, the conductivity of the substrate changes or the resistance between these electrodes changes. This change in resistance is measured and processed by the raspberry pi chip.
The Raspberry pi is a scaled-down PC structured in a solitary board with all the fundamental segments required for running a working framework. All models of raspberry pi include a Broadcom framework on a chip (SoC) with a coordinated ARM good central processing unit (CPU) and on-chip graphics process unit (GPU). Processor speed ranges from 700 MHz to 1.2 GHz for the Pi 3 and onboard memory extend from 256 MB to 1 GB RAM. Secure Digital (SD) cards are utilized to store the working framework and program memory in either SDHC or Micro SDHC sizes. It contains 40 pins in which four supply pins two 3.3v pins, two 5v pins, 7 ground pins and 29 GPIO pins. It gets energy from the solar power bank for its functioning. The Pi board will accept the inputs from the IR sensor and Camera module, based on the inputs and commands from the user through the mobile app it will control the output devices like gear motors and spraying mechanism.
To Reduce the Heat or Temperature in the Greenhouse Gases we have used a cooling fan, the gas to get out we have fixed an Exhaust fan, To increase the moisture level fixed a Fan and An LED is used to give the resistance to the LDR when Natural Light is not Available
In the Proposed Work a prototype of Green House Monitoring using the internet of things is made which can be controlled through a mobile app. The prototype looks as follows
To view the results we have used a mobile app designed using Thingspeak Cloud provider and the results are provided below
The system allows monitoring the condition of the greenhouse, which is collected using various sensors and send the data to Raspberry Pi and accordingly necessary action being taken. There were four objectives set at the start of the project:
- Take Temperature, water level, Light and Soil Moisture readings.
- Display past and present sensor readings to the user.
- be able to update the settings for multiple plants.
- Act upon sensor readings that deviate from the defined range.
All the above objectives have been achieved /met and the automated greenhouse gives flourished plants.
VII. Future scope of Green House Monitoring System
In the coming future, food becomes a valuable resource due to climate changes. Global warming has become a great thread to many spices end. Responsibility for future generations is needed to be taken by developing agriculture practices independent of climatic conditions. More intelligent machines are needed for the observation of greenhouse and for taking their own decision like humans.
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Credit: This project work completed by Dr.K.Prasanthi Jasmine (Professor) PhD, V.Satyavathi, G.Mounika and M.Anu Department of ECE, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India.