Industrial Internet of Things PPT113.ppt

PPT for Industrial Internet of Things (IIOT)

1. 1. Title Slide (1 slide)
A New IoT Gateway For Smart Agriculture
Authors
Muthumanickam Dhanaraju , Poongodi Chenniappan , Kumaraperumal
Ramalingam , Sellaperumal Pazhanivelan and Ragunath Kaliaperumal

2. Introduction
Sustainable Agriculture:
Defined as eco-friendly farming methods that preserve resources,
enhance biodiversity, and maintain soil quality.
Key goals include reducing greenhouse gas emissions, water
conservation, and ensuring a healthy ecosystem.
Importance:
Agriculture contributes 18% to India's GDP, employing 57% of the rural
population.
Challenges include declining arable land, resource degradation, and
climate variability.
Objective:
Integration of IoT and smart technologies to address agricultural
challenges and increase efficiency.

3. Problems
Decline in cultivable land due to urbanization and soil
degradation.
Inefficient resource utilization and over-reliance on chemical
inputs.
Lack of precision leads to wastage and environmental harm.

4. Theories
IoT in Agriculture:
Use of sensors, cloud computing, and artificial intelligence
to monitor and manage crops.
Real-time data collection improves decision-making.
Precision Agriculture:
Site-specific management using tools like drones, GPS, and
remote sensing for targeted interventions.
Eras of Agricultural Technology:
Agriculture 4.0 introduces IoT, big data, and AI for smarter
farming practices.

5. Methods
Sensors: Measure soil moisture, temperature, humidity, and
crop health.
Communication Tools: GPS, IoT platforms, and cloud storage
for data management.
Actuators: Automate irrigation, fertilization, and pest control.

6. System Architecture

7. Features
Real-time monitoring of crops and soil conditions.
Remote access through mobile apps and dashboards.
Precise resource allocation minimizes waste.
Compatibility with multiple crops and farming systems.

8. Implementation Benefits
Enhanced crop yields and quality.
Reduced input costs due to precise management.
Conservation of water and energy resources.
Improved resilience to climate variability.
Supports Rural development by increased Profitability.

9. Future Implications
Technological Advancements:
Integration of renewable energy systems like smart grids.
Use of drones for precision spraying and monitoring.
Expansion of AI-driven predictive models for disease
management and yield forecasting.
Broader Applications:
Enabling urban farming through vertical systems.
Connecting farmers directly to markets via digital platforms.

10. Conclusion
Summary:
IoT-based smart farming provides sustainable solutions to
modern agricultural challenges.
Enhances productivity while conserving resources and
reducing environmental impact.
Future Outlook:
Continuous innovation in IoT and AI can revolutionize
agriculture, making it more efficient and resilient.

11. References
1.Srisruthi, S.; Swarna, N.; Ros, G.M.S.; Elizabeth, E.
Sustainable agriculture using eco-friendly and energy
efficient sensor technol ogy. In Proceedings of the
2016 IEEE International Conference on Recent Trends
in Electronics, Information & Communication
Technology (RTEICT), Bangalore, India, 20–21 May
2016; IEEE: Bangalore, India, 2016; pp. 1442–1446.
[CrossRef]
2.Brodt, S.; Six, J.; Feenstra, G.; Ingels, C.; Campbell, D.
Sustainable Agriculture. Nat. Educ. Knowl. 2011, 3, 1.
3.Obaisi, A.I.; Adegbeye, M.J.; Elghandour, M.M.M.Y.;
Barbabosa-Pliego, A.; Salem, A.Z.M. Natural Resource
Management and Sustainable Agriculture. In
Handbook of Climate C

12. Thank you!Thank you!