Friday 3 November 2023

IOT Based Agriculture Monitoring and Controlling System using Arduino Uno

IOT based Agriculture Monitoring System using Arduino UNO | IOT Based Agriculture Monitoring and Controlling System using Arduino Uno | Arduino Driven Sensor Networked Smart Farming System | A smart farming system using Arduino based technology | IoT applied in Agriculture with Arduino | IOT Based Smart Agriculture Monitoring System Project | IoT Enabled Smart Irrigation System Using Arduino | SMART e-AGRICULTURE MONITORING BASED ON ARDUINO USING IOT | IoT Based Smart Farming Stick Using Arduino and Cloud Computing. *********************************************************** If You Want To Purchase the Full Working Project KIT Mail Us: Title Name Along With You-Tube Video Link We are Located at Telangana, Hyderabad, Boduppal. Project Changes also Made according to Student Requirements M1: +91 9491535690  M2: +91 7842358459 We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier Service We Will Provide Project Soft Data through Google Drive 1. Project Abstract / Synopsis 2. Project Related Datasheets of Each Component 3. Project Sample Report / Documentation 4. Project Kit Circuit / Schematic Diagram 5. Project Kit Working Software Code 6. Project Related Software Compilers 7. Project Related Sample PPT’s 8. Project Kit Photos 9. Project Kit Working Video links Latest Projects with Year Wise YouTube video Links 157 Projects  135 Projects  151 Projects  103 Projects  61 Projects  171 Projects  170 Projects  67 Projects  55 Projects  43 Projects  1100+ Projects *********************************************************** Creating an IoT-based Smart Agriculture Monitoring System using Arduino can greatly improve the efficiency and productivity of farming. In this project, we'll use Arduino, various sensors, and an IoT platform like ThingSpeak or Adafruit IO to collect data and monitor the agricultural environment remotely. Here's a step-by-step guide to help you get started: Components Needed: 1. Arduino (e.g., Arduino Uno or Arduino Mega) 2. Sensors: • Soil Moisture Sensor • DHT22 or DHT11 Temperature and Humidity Sensor • Light Sensor (LDR) • Rainfall Sensor (optional) 3. ESP8266 Wi-Fi module or ESP32 (for IoT connectivity) 4. Relay module (for controlling irrigation systems) 5. Power supply (solar or standard power source) 6. Water pumps, valves, or actuators (for automated irrigation) 7. Enclosure for outdoor installation (to protect electronics) 8. Jumper wires, breadboard, and connectors 9. Internet connection Project Steps: 1. Hardware Setup: • Connect the sensors and actuators to the Arduino using jumper wires. • Connect the ESP8266 or ESP32 to the Arduino using serial communication or I2C for data transfer. • Make sure all connections are secure and powered properly. 2. Sensor Data Collection: • Read data from the soil moisture sensor to monitor soil moisture levels. • Use the DHT22/DHT11 sensor to measure temperature and humidity. • The light sensor can be used to monitor light intensity. • Optionally, include a rainfall sensor to measure precipitation. 3. Arduino Programming: • Write Arduino code to read data from the sensors. • Implement control logic for irrigation systems based on the sensor data. For example, turn on/off water pumps or open/close valves. • Create a mechanism to send sensor data and control commands to the IoT platform via the ESP8266 or ESP32. 4. IoT Integration: • Sign up for an IoT platform like ThingSpeak, Adafruit IO, or Ubidots. • Obtain the necessary credentials (API keys) to connect your Arduino to the platform. • Modify your Arduino code to send sensor data to the IoT platform periodically. • Set up dashboards and alerts on the IoT platform to visualize and analyze the data remotely. 5. Remote Monitoring and Control: • Access your IoT platform's dashboard or mobile app to remotely monitor the agricultural conditions. • Implement automation rules and alerts to trigger actions (e.g., irrigation) based on specific conditions (e.g., low soil moisture). 6. Power Supply: • Depending on your project's location, consider using solar power or a reliable power source to ensure continuous operation. 7. Enclosure and Weatherproofing: • Place the components in a weatherproof enclosure to protect them from environmental factors. • Ensure that the sensors can still gather accurate data while inside the enclosure.

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