smart agri

1. Submitted to: Submitted By
Seminarppt.com Seminarppt.com
SeminarPpt.com
Seminar
On
Smart Agriculture
System Using Iot

2. Table of Contents
1. Introduction
2. Smart Agriculture System Architecture
3. Key Applications of IoT in Agriculture
4. Benefits of IoT in Agriculture
5. Challenges and Limitations
6. Conclusion

3. Introduction
Smart agriculture refers to the integration of
advanced technologies and practices to
enhance agricultural productivity,
sustainability, and efficiency.

4. Smart Agriculture System
Architecture
System Components:
A smart agriculture system typically consists
of several key components:
Sensors
Connectivity
Data Processing
Actuators

5. Smart Agriculture System
Architecture
Sensors: Devices that collect data on soil
moisture, temperature, humidity, and crop
health.

6. Smart Agriculture System
Architecture
Connectivity: Communication technologies
(Wi-Fi, LoRa, cellular) that connect devices to
the cloud or local servers.

7. Smart Agriculture System
Architecture
Data Processing: Platforms that analyze data
and provide actionable insights (e.g.,
dashboards, mobile apps).

8. Smart Agriculture System
Architecture
Actuators: Devices that perform actions
based on data analysis, such as automated
irrigation systems or drones.

9. Data Flow Diagram
Data Collection
Data Transmission
Data Analysis
Decision Making
Action
Implementation

10. Data Flow Diagram
1. Data Collection: Sensors gather information from the
field.
2. Data Transmission: Data is sent to a central server or
cloud.
3. Data Analysis: Algorithms process the data to derive
insights.
4. Decision Making: Farmers receive recommendations
via a user interface.
5. Action Implementation: Actuators perform necessary
actions based on insights.

11. Key Applications of IoT in
Agriculture
Precision Farming: IoT enables precision
farming by providing data-driven insights into
field variability.

12. Key Applications of IoT in
Agriculture
Smart Irrigation Systems: Automated
irrigation systems use soil moisture sensors
to determine when and how much to water
crops, reducing water waste and ensuring
crops receive adequate moisture.

13. Key Applications of IoT in
Agriculture
Crop Monitoring and Management: Sensors
and drones monitor crop health, detect
pests, and assess growth stages.

14. Benefits of IoT in Agriculture
Increased Yield
Resource Optimization
Cost Reduction:
Environmental Sustainability

15. Challenges and Limitations
Connectivity Issues
Data Privacy and Security
Initial Investment Costs

16. Conclusion
In conclusion, the integration of IoT into
agriculture presents a transformative
opportunity for the industry. By leveraging
real-time data and advanced technologies,
farmers can enhance productivity, optimize
resource use, and promote sustainable
practices.

17. References
• Wikipedia.org
• Google.com
• Seminarppt.com
• Studymafia.org

18. Thanks
To
SeminarPpt.Com