IoT_Smart_Agriculture_Animated (1).pptxx

Smart agriculture system

1. IoT-Based Smart Agriculture System Enhancing Efficiency and Productivity in Farming Your Name & Date

2. Introduction • Overview of IoT in agriculture • Importance of smart farming • Objectives of the system

3. Problem Statement • Challenges in traditional farming (climate change, resource wastage, labor dependency) • Need for automation and smart monitoring

4. What is IoT-Based Smart Agriculture? • Definition of IoT in agriculture • How IoT improves farming efficiency

5. Components of the System • Sensors (Temperature, Soil Moisture, Humidity, Light) • IoT Devices (Microcontrollers, Wireless Modules) • Cloud Computing & Data Storage • Mobile/Web Applications

6. System Architecture • Flow of data from sensors to cloud • Data processing and decision-making • User interaction via apps

7. Working of the System • Data collection via sensors • Data transmission using IoT protocols (Wi-Fi, LoRa, Zigbee) • Processing and automated decision-making • Notifications & alerts to farmers

8. Applications in Agriculture • Precision farming • Automated irrigation • Weather monitoring • Crop health monitoring • Smart greenhouse management

9. Benefits of IoT in Agriculture • Increased productivity • Resource optimization (water, fertilizers) • Real-time monitoring & decision-making • Cost reduction

10. Challenges & Limitations • High initial investment • Connectivity issues in rural areas • Data security and privacy concerns

11. Future Scope • AI & machine learning integration • Robotics in farming • Blockchain for secure transactions

12. Conclusion • Summary of IoT’s role in modern agriculture • Need for adoption in large-scale farming

13. References • Mention any sources, research papers, or links used