We did our mini project on IoT Based Smart Crop MOnitoring System Under the guidance of Dr. Amitava Nag Sir.

1. A Presentation on
IOT BASED SMART CROP MONITORING
SYSTEM
Under the supervision of
Dr. Amitava Nag (Associate Professor, Dept. of IT)
Presented By:
Shubham Pandey(Gau-C-14/153)
Swasat Dutta(Gau-C-15/L-381)
Kaushik Deka(Gau-C-15/238)
Nayan Jeet Dewri(Gau-C-15/258)
Dept. of Information Technology
Central Institute of Technology ,Kokrajhar

2. Contents
 Introduction
 Definition of IoT
 Application of IoT in Agriculture
 Problem Statement
 Case Study
 Proposed Solution
 Implemented Model
 Components Used
 Screenshots
 Future Work
 Conclusion
 References

3. Introduction
• About 84% of total population of India
depends on agriculture.
• Agriculture contributes a huge amount
to the GDP of the country
• IoT will help in increasing productivity.
• IoT will help in efficient resource
utilization.

4. What is the Internet of Things?
• Connecting everyday things
embedded with electronics, software
and sensors to the internet, enabling
them to collect and exchange data.

5. Application of IoT in Agriculture
• Crop Water Management
• Precision Agriculture
• Security and safety
• Automatization of machineries

6. Problem Statement
Pest Infestation Dry leaves

7. Case Study
• An IoT startup
• Born in Naples, Italy in 2015
• Uses Sensors and predictive algorithm
• Real time data on PC/smartphone
1.Evja

8. • KISAN Project was launched on 5Th Oct,
2015
• The project favours use of satellites,
drone and other geospatial technology
• “Hailstorm App”, designed by ISRO was
also launched
• The App helps in real time data
collection about hailstorm occurrences
2. KISAN Project and Hailstorm App

9. Proposed Solution

10. Implemented Model

11. Components Used
Raspberry Pi 3 Model B, Arduino UNO
Rev 3, Sensors, Jumper wires,
Breadboard, LED, Resistor and Display
Device.

12. Screenshots
Data on WebpageLog in page
Automated Alert email

13. Future Work
Prior sensor data
Machine learning
Seed vendors,
Agronomists
Recommendation
(Daily based practice)
Current sensor data
Classification/
Regression

14. Conclusion
1. To increase the productivity of crops
2. Efficient resource utilization
3. Reduce cost of production
4. Smart monitoring
5. Better quality products

15. References
[1] YOURSTORY.2018. How this Italy-based agritech
startup is using IoT to help farmers know their crops
[https://yourstory.com/2018/01/italy-based-agritech-
startup-using-iot-help-farmers-know-crops/]. Accessed
27 April 2018.
[2] GKToday.2018. Union Government launches KISAN
Project and Hailstorm App for crop damage.
[https://currentaffairs.gktoday.in/union-government-
launches-kisan-project-hailstorm-app-crop-damage-
10201527147.html]. Accessed 3 May 2018.
[3] P. Rajalakshmi, S. Devi Mahalakshmi, "IOT Based
Crop-Field Monitoring And Irrigation Automation" in
10th International conference on Intelligent systems and
control (ISCO) 7–8 Jan 2016, published in IEEE Xplore,
Nov 2016.

16. Thank you