LoRa-Enabled NodeMCU Nodes for Efficient Agricultural Monitoring in IoT: Integration with Raspberry Pi Web Application
Objective
This project creates LoRa-enabled NodeMCU nodes for agricultural monitoring, integrated with a Raspberry Pi web application for real-time data analysis, to improve decision-making and support sustainable farming practices.
Abstract
This project presents a comprehensive solution for efficient agricultural monitoring using LoRa-enabled NodeMCU nodes integrated with a Raspberry Pi-based web application. The system utilizes a transmitter (TX) kit comprising an Arduino Uno, DHT11 temperature and humidity sensor, soil moisture sensor, LoRa module, NodeMCU, relay, water pump, and an LCD display. The TX kit continuously monitors environmental parameters such as temperature, humidity, and soil moisture. When soil moisture levels are detected as dry, the system automatically activates the water pump, ensuring optimal irrigation. Data from the TX kit is transmitted through the LoRa module to a receiver (RX) kit, which includes an Arduino Uno, LCD display, LoRa module, and Raspberry Pi. The Raspberry Pi collects and displays the data, enabling real-time monitoring of the agricultural conditions. Additionally, Node MCU is used to upload the sensor data to ThingSpeak, providing remote access to the collected information via a cloud-based platform. The integration of LoRa technology ensures long-range communication for reliable monitoring in large or remote agricultural fields, while the Raspberry Pi web application facilitates user-friendly, real-time data visualization. This system not only improves irrigation efficiency but also supports data-driven decision-making in smart farming practices.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
- - Raspberry Pi
- - LoRa Module
- - Arduino UNO
- - LCD
- - Water Motor
- - Relay
- -NodeMCU
- - Soil Moisture Sensor
- - DHT11 Temperature and Humidity Sensor
Learning Outcomes
- - Understanding LoRa Communication Protocol
- - Integration of NodeMCU with LoRa Module
- - Sensor Integration for Agricultural Monitoring
- - Data Transmission via LoRa to Raspberry Pi
- - Building a Web Application for Data Visualization
- - Security and Data Privacy in IoT Systems
- - Web Interface for Control and Alerts
- - IoT-based Remote Monitoring
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools.
- Solution providing for real time problems.
- Working with team/ individual.
- Work on Creative ideas.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
Paper Publishing
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6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
