Скачать или смотреть Smart Agriculture System: AI-Powered Farming with Arduino and Edge Impulse | SCS

The aim of the Smart Agriculture System project is to design an AI-powered platform using Edge Impulse and Arduino, enabling efficient plant management through detection, monitoring,
and targeted watering. The system aims to optimize resource utilization and provide insights into sunlight, soil, and pesticide requirements for selected crops, including tomato, onion, potato, coconut, rice, wheat, and carrot.

Problem:
Agricultural practices are often inefficient due to overwatering, underutilization of
sunlight, and improper pesticide application. Farmers lack accessible tools to monitor these critical parameters, resulting in decreased crop yield and wastage of resources.

Components Used:
1. Arduino Uno
2. Edge Impulse AI platform
3. Soil moisture sensor
4. Temperature and humidity sensor
5. LCD (Liquid Crystal Display)
6. Water pump
7. Relay module

Proposed Solution:
The proposed Smart Agriculture System leverages AI models trained on Edge Impulse to identify plants and assess their specific needs.
This system integrates various sensors to monitor soil moisture, temperature, and humidity, ensuring optimal watering. Data about sunlight and pesticide requirements is displayed on an LCD, empowering farmers with real-time information to enhance crop health.
By providing an affordable and easy-to-use solution, the Smart Agriculture System aims to revolutionize traditional farming, enabling precision agriculture and boosting productivity across diverse applications.


Working of the Model:
The Smart Agriculture System functions as follows:
1. Plant Detection: The AI model, trained using Edge Impulse, identifies specific plants such as tomato, carrot, or rice.
2. Environmental Monitoring: Sensors collect data on soil moisture, temperature, and humidity.
3. Automated Watering: Based on soil moisture levels, the Arduino controls a water pump to deliver precise watering to each plant.
4. Data Display: Information about sunlight needs, pesticide
recommendations, and soil conditions is shown on an LCD for real-time insights.

This integration of AI and IoT ensures efficient resource utilization, targeted
irrigation, and improved crop yield, addressing modern agricultural challenges effectively.

Design:
The system includes a modular structure with:
1. AI Module: For plant identification using Edge Impulse.
2. Sensor Module: To monitor environmental parameters.
3. Control Module: Powered by Arduino for real-time processing and decision-making.
4. Display Module: LCD to showcase actionable insights for users.

Users:
Farmers, gardeners, and agricultural researchers seeking efficient crop management and optimized resource usage.