Plant Monitoring System Using Iot
Plant Monitoring System Using Iot – Most plant monitoring systems can only be monitored on a local network, as accessing the system from outside the local network becomes expensive or difficult. I decided to create such a plant monitoring system, but it would have the added ability to access multiple values from anywhere in the world.
This system measures various environmental factors that are important for healthy plant growth. It can measure air quality, temperature, humidity, soil moisture and sunlight. All these values are sent to an online cloud IOT dashboard and can then be viewed from anywhere in the world.
Plant Monitoring System Using Iot
I am working with an ESP32 board and I am using the following sensors – LDR, MQ135 air quality sensor, DHT11 humidity and temperature sensor and soil moisture sensor.
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I can monitor garden statistics in a very detailed graphical format from anywhere in the world. As a dashboard admin, I can also make some changes to the dashboard and do some analytics. Even others can monitor the garden sensor value with a simple link. This is a link to the IoT Garden Dashboard – Link – Live. You can see 5 graphs each showing sunlight intensity, soil moisture, humidity, temperature and air quality.
I learned how to integrate plant monitoring systems with online monitoring capabilities from anywhere in the world.
When the situation in my area becomes normal and the store opens after the pandemic, I will try to improve the system to work more efficiently by adding several sensors and an LCD screen. Monitoring plant health is critical to rapid growth. In this busy world, most people forget to water their plants, which affects plant growth and health. In order to ensure the full development of the plant, it is necessary to create suitable environmental conditions for the plant. Now we will create a small DIY factory monitoring system with data displayed on the Iviv screen. The following data will be displayed on the EView screen:
An LDR (Wikipedia) is a light-sensitive device that is often used to indicate the presence or absence of light or to measure the intensity of light. LDRs can be used in light-sensitive detector circuits and light- and dark-activated switch circuits.
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The resistance of the photoresistor decreases as the intensity of the incident light increases. In other words, it shows photoconductivity. Photoresistors are made of high resistance semiconductors. In the dark, the resistance of the photoresistor can reach several megaohms (MΩ), and in the light – several hundred ohms.
A soil moisture sensor (Wikipedia) measures the amount of water in the soil. Two humidity sensor probes are connected to the LM293 comparator. This sensor uses two probes to pass a current through the soil, then reads the resistance to get the moisture level.
Soil moisture sensors use capacitance to measure soil water content (by measuring the soil’s dielectric conductivity, which is a function of water content). The LM393 IC compares the voltage here, the reference voltage (UR) is set by an adjustable potentiometer, when the value of the analog output exceeds this value, the LM393 Comparator will generate a digital value indicating that the sensor is triggered when this limit. setup is available. arrived For more information, visit soil moisture sensor interface-aviv
The DHT11 is a temperature and humidity sensor that uses a capacitive humidity sensor and a thermistor to measure the R environment and output a digital signal on the data pin (no need for an analog input pin).
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The humidity and temperature sensor DHT11 consists of 3 million components. A resistive type humidity sensor, an NTC (Negative Temperature Coefficient) thermistor (for temperature measurement) and an 8-bit microcontroller that converts the analog signals of both sensors and sends a single digital signal.
After installing the circuit, upload the Arduino code. The data will be displayed on your EVV screen.
Eviv displays values from soil moisture sensors, plant temperature and humidity, and energy status.
The sensor is connected as shown in the circuit diagram. The humidity sensor and LDR sensor are connected to analog pins A0 and A1, and the humidity temperature sensor is connected to digital pin 2. Monitor the amount of sun and water the plant receives and receive alerts when action is needed. There is no code. Just drag and drop the argument. Read more about this project
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Monitor how much sun and water your plants are getting and get alerts when action is needed. There is no code. Just drag and drop the argument.
In today’s busy world, we forget to feed and water the plants that keep our homes clean and pleasant. Consider whether your plants can tell you when they are happy and when they need proper attention. That would be great, wouldn’t it! It will be very useful to receive messages on the phone about the health and needs of the plant. With this in mind, we came up with the idea of creating a smart garden with an IoT plant monitoring system. He regularly checks the soil moisture and the intensity of sunlight reaching the plant. After the data is processed and checked by integrated logic using Integromat, an SMS message is sent about the plant’s condition. It will make our life easier and easier and help us take better care of our plants. Let’s start!
All the components required for the project are listed below and are easily available in the market at a reasonable price.
The Bolt IoT platform enables secure device management and data collection from IoT devices wherever they are. Get real insights using machine learning algorithms in just a few clicks to detect anomalies and predict sensor values. Visit boltiot.com to learn more.
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Integromat’s function is to seamlessly integrate applications/services so that you can focus on new tasks instead of repeating the same tasks. Let’s get back to what’s important.
Integromate works by linking your favorite apps/services with the appropriate modules to create scripts that will automatically move and change data. You just need to create a script that will monitor new data in the application/service, set the action module to the desired end result and Integromat will do the work for you.
Twilio is a cloud communications platform as a service company based in San Francisco, California. Twilio allows software developers to programmatically make and receive phone calls and send and receive text messages using web services APIs. Learn more at twilio.com.
4. Now connect the ground sensor probe to the amplifier circuit using a female/female jumper cable and connect the amplifier circuit pin VCC, GND and DO (digital output) to 3.3V, GND and screw block pin 0. Female header connector. Remember to connect only these 3, not the analog output of the amplifier circuit.
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After you’ve assembled your hardware, register and connect your Bolt device to Bolt Cloud. Learn more about signing up and connecting Bolt to the cloud.
2. After creating your account, create a new script using the “Create new script” button in the upper right corner of the dashboard. Follow this link for help.
4. Now create the required logical flow using the service as shown in the image. Follow this link for help.
5. After creating the logic, now we need to enter the credentials of the service we are using. i.e. Bolt device ID and API key and SSID for BoltIoT service, authentication token number, sender number for Twilio service. You can find all of these at cloud.boltiot.com and twilio.com respectively. See the image below for more help.
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Also fill in the required command along with the PIN code. To use the BoltIoT service and the Twilio service, you need to send the required SMS with the recipient’s number.
6. Get the current time and set upper and lower time limits using the Set Variable tool. Enter the variable name and variable value according to your needs. For example:
7. Attach an update error handler to the BoltIoT service so that Integromat cannot automatically terminate the script if an error occurs. Use any number in the driver that will be assigned to the bolt in the event of an error. To the East. 12345 (in our case) as shown in the image below.
8. Apply time constraints and error filters to each router output branch, and moisture content and light intensity filters to each router output branch as shown below.
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9. For Twilio services, use the SSID, authentication key, and sender number provided in the Twilio dashboard. If you don’t have a Twilio account, visit this link to create one.
11. Finally, design the script according to your needs and save it. In our case, the script will open every 30 minutes.
The working principle is very simple, the soil sensor measures the amount of moisture in the soil, and the LDR measures the intensity of the light falling on the plant. two data
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