3. ABSTRACT
The objective of the project is to make agriculture smart using IoT technologies
and solar energy
Key features of the project include:
Prevention of crop spoilage during rain
Efficient recycling of rainwater for irrigation
Alarm/buzzer system to detect human/animal intruders
The project utilizes Wi-Fi module, GSM module and sensors interfaced with
Arduino
The proposed work aims to solve current problems related to agriculture by
reducing human efforts, reducing wastage of water, and providing live field
conditions to the farmer on their mobile device.
5. INTRODUCTION
Today's modern world has seen a
great shift in the way we monitor and
assess the agricultural systems.
GSM and IOT based Smart
Agriculture Monitoring System have
become an integral part of the
agricultural industry, providing a
comprehensive and accurate way to
measure and analyze crop growth
and development
6. COMPONENTS OF THE SYSTEM
Sensors: To collect data on crop growth and soil conditions such as temperature,
humidity, soil moisture, etc.
Communication module: To transmit data from the sensors to a central location
using GSM and IoT technology
Data storage and analysis module: To store and process the data using advanced
algorithms to identify patterns and trends
Decision-making module: To use the data analysis results to make decisions about
irrigation, fertilization, and pest control
Power supply: To provide power to the sensors and communication module, can be
solar panels or battery.
User Interface (Optional): To display the data and control the system remotely
Cloud-based infrastructure : optional to store and process the data with some
additional features.
9. BENEFITS OF THE SYSTEM
Remote monitoring of crops and fields
Real-time data on temperature, humidity, soil moisture.
Increased efficiency through automation.
Security and surveillance
Reduce costs
Remote controlling by Mobile.
Easy to operate and affordable for small-scale farmers.
Large scale implementation.
11. USING THE SYSTEM
EFFECTIVELY
In order to use the GSM and IoT
based agriculture monitoring system
effectively, it is important to ensure
that the components are properly
installed and configured.
It is also important to use the system
in conjunction with other tools and
techniques to ensure that the data
collected is accurate and up-to-date.
12. POTENTIAL AREAS OF FUTURE WORK
Development of advanced sensors for crop growth and health
measurement.
Incorporation of machine learning for crop prediction, harvest
timing, and disease detection.
Integration of blockchain for secure data sharing and food
traceability.
Scaling up the system with more farmers and devices, and new
data visualization tools.
14. CONCLUSION
A GSM and IoT based smart agriculture
monitoring system allows for real-time
monitoring of crop conditions
Automation of irrigation and fertilization can
save resources and improve crop yields
Remote access to data allows for monitoring
from anywhere
The system can increase efficiency, cost-
effectiveness, and productivity in agriculture.
15. REFERENCES
RESEARCH PAPER
“ IoT based Smart Agriculture monitoring system”, International Research Journal of
Engineering and Technology (IRJET), Volume 7, Issue 3, February 2020 e-ISSN: 2395-0056
“ Smart Agriculture Monitoring and Protection System Using IOT”, Sudarshan K G.
Perspectives in Communication, Embedded-Systems and Signal-Processing (PiCES) – An
International Journal. ISSN: 2566-932X, Vol. 2, Issue 12, March 2019
BOOKS
Microcontrollers (Theory and Applications) By Ajay V Deshmukh
PIC Microcontroller And Embedded System using Assembly and C for PIC18 By Muhammad
Ali Mazidi.
16. QUESTIONS AND
ANSWERS
This presentation has
provided an overview of the
GSM based agriculture
monitoring system with IoT
control.
If you have any questions
about the system, please feel
free to ask.