Welcome to our Smart Agriculture System GitHub repository! 🌱 This comprehensive project is designed to revolutionize agriculture by combining two vital components: Greenhouse Monitoring and Field Monitoring. Our solution provides farmers with a sophisticated yet user-friendly system for optimizing crop conditions in both controlled environments and remote fields. Explore each part of our project:
Our Greenhouse Monitoring module focuses on creating an interconnected network of greenhouses using Wi-Fi technology. Here's what it offers:
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🌍 Networked Greenhouses: Connect multiple greenhouses to a central Raspberry Pi hub over Wi-Fi, enabling centralized control and monitoring.
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🌡️ Environmental Sensors: Utilize sensors for temperature, humidity, and other key parameters to ensure optimal greenhouse conditions.
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🌐 Dashboard Interface: Access a farmer-friendly dashboard for real-time insights into each greenhouse's environmental status.
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📊 Control Mechanisms: Implement automated control mechanisms for factors like irrigation, ventilation, and lighting to optimize crop growth.
The Field Monitoring module extends our system to remote fields, overcoming connectivity challenges. Here's what it includes:
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🌱 LoRa Connectivity: Use LoRa (SX1278 module) for remote field communication, ensuring reliable data transmission in areas with limited Wi-Fi coverage.
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🌧️ Moisture Sensors: Deploy moisture sensors in the field to gather crucial soil moisture data for informed irrigation decisions.
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📡 Integration with Raspberry Pi Hub: Connect field sensors to the central Raspberry Pi hub, aggregating data for a holistic view of the agricultural landscape.
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🚀 Precision Agriculture: Empower farmers with data-driven insights to make informed decisions for optimizing crop yield and resource efficiency.
Our automated greenhouse is a cutting-edge solution for precision agriculture. It incorporates a range of essential components to optimize crop growth and environmental conditions. The key features include:
🌧️ Environmental Monitoring:
- DHT11 Sensor: Measures humidity and temperature.
- Soil Moisture Sensor: Monitors soil moisture levels.
- BH1750 Ambient Light Sensor: Measures lux value for precise light intensity control.
🧠 Control Hub:
- ESP32 Microcontroller: Powers the greenhouse automation, collecting and processing data from the sensors.
⚙️ Parameter Control Modules:
- Solenoid Valve: Manages irrigation to ensure optimal soil moisture.
- LED Grow Lights: Adjusts lighting conditions for different growth stages.
- Exhaust Fan: Regulates temperature and humidity levels by activating the exhaust system.
🌡️ Automated Regulation: Our program facilitates the automatic regulation of the greenhouse environment:
- Temperature Control: The exhaust fan is activated to maintain the desired temperature.
- Humidity Control: The exhaust fan contributes to humidity regulation.
- Soil Moisture Management: The solenoid water valve ensures optimal soil moisture levels.
- Lighting Adjustment: LED grow lights are dynamically controlled to achieve the desired light intensity.
MQTT, or Message Queuing Telemetry Transport, is a lightweight and efficient messaging protocol designed for reliable communication in the Internet of Things (IoT) landscape. It operates on the publish-subscribe model, making it ideal for scenarios where small, intermittent, or low-bandwidth connections are common.
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Publish-Subscribe Model: Devices communicate via a broker, where publishers send messages without knowing who the subscribers are, and subscribers receive messages based on topics of interest.
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QoS Levels: Offers three Quality of Service levels, ensuring reliable message delivery even in challenging network conditions.
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Retained Messages: The broker can store the last message on a topic, making it available to new subscribers when they connect.
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Lightweight: Designed for resource-constrained environments, MQTT minimizes bandwidth usage and processing overhead.
In our Smart Agriculture System, the Raspberry Pi serves as a powerful MQTT broker, acting as a centralized hub for communication between various components. Here's why the Raspberry Pi is an excellent choice for hosting an MQTT broker:
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Low-Cost Solution: Raspberry Pi offers a cost-effective yet robust solution for hosting an MQTT broker, making it accessible for a wide range of IoT projects.
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Wi-Fi Connectivity: With built-in Wi-Fi capabilities, Raspberry Pi allows seamless communication with devices within the network, such as greenhouses and sensors.
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GPIO Pins for Sensor Integration: Raspberry Pi's General Purpose Input/Output (GPIO) pins enable easy integration with sensors, making it versatile for gathering environmental data.
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Open-Source Software Support: Various MQTT broker software, such as Mosquitto, can be easily installed on Raspberry Pi, ensuring flexibility and compatibility.
Welcome to the heart of our Smart Agriculture System's user experience – the Node-RED Dashboard. Designed for simplicity and functionality, the Node-RED Dashboard transforms complex IoT data into an interactive and visually engaging interface.
🔍 Visual Flow Programming: Node-RED Dashboard allows you to build intuitive workflows visually. Easily connect nodes, process MQTT data, and design a customized dashboard tailored to your agricultural needs.
📈 Real-Time Monitoring: Witness real-time updates of environmental parameters such as temperature, humidity, and soil moisture. Stay informed about the health and conditions of your greenhouses and remote fields at a glance.
🎛️ Intuitive Control Widgets: Take control effortlessly with interactive widgets. From adjusting lighting conditions to managing irrigation, the Node-RED Dashboard provides a user-friendly interface for seamless control of your Smart Agriculture System.
🌐 Customizable Dashboards: Tailor dashboards to suit your preferences. Highlight essential information, rearrange widgets, and create a personalized view that aligns with your farming priorities.
Node-RED Dashboard acts as the bridge between the complexity of IoT data and the user's need for simplicity. Empower farmers with the tools to make informed decisions, all within a visually appealing and accessible interface.
- Raspberry Pi (or any other microcontroller)
- MicroSD Card (for Raspberry Pi)
- Power Supply for Raspberry Pi
- DHT11 Sensor (Humidity and Temperature)
- Soil Moisture Sensor
- BH1750 Ambient Light Sensor (Lux value)
- Solenoid Water Valve (for irrigation)
- LED Grow Lights
- Exhaust Fan
- LoRa Module (SX1278) for remote fields
