Abstract:
This project focuses on developing a comprehensive system for real-time plant irrigation, disease detection, and animal monitoring using a Raspberry Pi.
The system integrates various components, including a moisture sensor for soil moisture monitoring, a water pump controlled via a relay module for irrigation, a USB camera for capturing images of plants, and an LCD display for presenting system status.
The primary goal is to create an automated solution that maintains optimal soil moisture levels, identifies potential plant diseases, and detects the presence of animals, thereby enhancing agricultural efficiency and plant health management.
The system's real-time capabilities aim to provide timely interventions and alerts, leveraging the Raspberry Pi's computational power and versatility to process and analyze sensor data and camera feeds.
• Develop an Automated Irrigation System: To design and implement a system that uses soil moisture sensors to automatically control water flow, ensuring optimal soil moisture levels and efficient water usage.
• Implement Disease Detection: To integrate image processing techniques using a USB camera to identify signs of plant diseases, providing early alerts and facilitating timely intervention to prevent disease spread.
• Integrate Animal Detection: To incorporate camera-based monitoring for detecting the presence of animals that may pose a threat to crops, enabling farmers to take appropriate measures to protect their plants.
• Create a User-Friendly Interface: To design an LCD display system that presents real-time information on soil moisture levels, irrigation status, and detection alerts, improving the ease of use and accessibility for users.
• Ensure Real-Time Monitoring and Alerts: To develop a system that continuously monitors plant health and environmental conditions, providing real-time alerts and notifications to enhance decision-making and prompt actions.
• Optimize Resource Efficiency: To combine these technologies into a cohesive system that optimizes water usage, reduces crop losses due to diseases and animals, and promotes sustainable agricultural practices.
• Demo Video
• Complete project
• Full project report
• Source code
• Complete project support by online
• Life time access
• Execution Guidelines
• Immediate (Download)
Software Requirements
• Raspberry Pi OS
• Python 3.x
• OpenCV
• TensorFlow/Keras
• NumPy
• Pillow
• PySerial
• Matplotlib
• Flask/Django (optional)
• GPIO Zero
• VNC Viewer (optional)
Hardware Requirements
• Raspberry Pi
• Soil Moisture Sensor
• USB Camera
• Relay Module
• Water Pump
• 9V Battery
• LCD Display
• Buzzer
• Jumper Wires
• Power Supply
• MicroSD Card (16GB or larger)
Immediate Download:
1. Synopsis
2. Rough Report
3. Software code
4. Technical support
Hardware Kit Delivery:
1. Hardware kit will deliver 4-10 working days (based on state and city)
2. Packing and shipping changes applicable (based on kit size, state ,city)
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