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SRINIVASA INSTITUTE OF
TECHNOLOGY AND SCIENCE, KADAPA
SMART FARMING USING
EMBEDDED SYSTEMS
PAPER PRESENTATION
BY
D. SIVA DHARANI
DEPT. OF ELECTRONICS AND
COMMUNICATION ENGINEERING
CONTENTS
Introduction
Key components
Benefits
Sensor applications
Actuator applications
Communication
Challenges
Solutions
Future trends
Conclusion
INTRODUCTION :
Smart farming using embedded systems refers to
the integration of advanced electronic devices and
technologies within agricultural practices to enhance
efficiency, productivity, and sustainability. The importance of
technology in modern agriculture lies in its ability to
revolutionize traditional farming practices by incorporating
advanced tools and systems.
This integration of technology empowers farmers with real-
time information, enabling data-driven decision-making,
reducing resource wastage, and ultimately increasing
productivity in a more sustainable and environmentally
friendly manner.
KEY COMPONENTS OF SMART FARMING :
Sensors :
Used to measure the agricultural parameters.
Drones :
Used to monitor and collect data in agricultural
fields.
Mapping and surveying
IoT devices :
 involves integration of interconnected sensors,
actuators and other devices to collect, transmit
and analyse data.
SENSOR APPLICATIONS IN SMART FARMING
Soil sensors :
Soil conditions-moisture
levels, temperature and
nutrient content.
Weather sensors :
Environmental conditions-
temperature, wind speed,
humidity and precipitation.
Crop health sensors :
Monitor chlorophyll levels,
ACTUATOR APPLICATIONS
• Robotic equipment for planting and harvesting.
• Automated irrigation systems.
• Precision planting and seeding.
• Adjustable equipment and implements.
• Climatic control in greenhouse gases.
COMMUNICATION IN SMART FARMING
o Wireless sensors networks
o Internet of things
o Mobile networks
o Machine-to-Machine
communication
o Satellite communication
BENEFITS OF EMBEDDED SYSTEMS IN
AGRICULTURE :
 Resource optimisation
Increased efficiency and productivity
 Environmental Sustainability
 Cost savings
 Data-Driven decision making
 Remote monitoring and control
Reduce manual labor
Automated monitoring
CHALLENGES
• Cost of implementation
• Limited connectivity in rural areas
• Power supply
• Skills and training
• Data security and privacy
SOLUTIONS
Government support and subsidies
 Training programs
Energy efficient designs
Encryption and access control
FUTURE TRENDS
Artificial intelligence and machine learning
Robotics and autonomous machinery
5G and beyond connectivity
Block chain for supply chain transparency
CONCLUSION
In conclusion, the integration of embedded systems
in smart farming heralds a transformative era for
agriculture, marked by precision, efficiency, and
sustainability. The deployment of sensors, actuators,
and intelligent devices has revolutionized traditional
farming practices, offering benefits. Challenges,
including data security concerns and initial investment
costs, are resolved through standardization, encryption
measures, and government support.
As smart farming continues to evolve, future
trends like AI, and blockchain integration within
embedded systems promise even greater
Smart garmi using embedded systems in engineering

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Smart garmi using embedded systems in engineering

  • 1. SRINIVASA INSTITUTE OF TECHNOLOGY AND SCIENCE, KADAPA SMART FARMING USING EMBEDDED SYSTEMS PAPER PRESENTATION BY D. SIVA DHARANI DEPT. OF ELECTRONICS AND COMMUNICATION ENGINEERING
  • 2. CONTENTS Introduction Key components Benefits Sensor applications Actuator applications Communication Challenges Solutions Future trends Conclusion
  • 3. INTRODUCTION : Smart farming using embedded systems refers to the integration of advanced electronic devices and technologies within agricultural practices to enhance efficiency, productivity, and sustainability. The importance of technology in modern agriculture lies in its ability to revolutionize traditional farming practices by incorporating advanced tools and systems. This integration of technology empowers farmers with real- time information, enabling data-driven decision-making, reducing resource wastage, and ultimately increasing productivity in a more sustainable and environmentally friendly manner.
  • 4. KEY COMPONENTS OF SMART FARMING : Sensors : Used to measure the agricultural parameters. Drones : Used to monitor and collect data in agricultural fields. Mapping and surveying IoT devices :  involves integration of interconnected sensors, actuators and other devices to collect, transmit and analyse data.
  • 5. SENSOR APPLICATIONS IN SMART FARMING Soil sensors : Soil conditions-moisture levels, temperature and nutrient content. Weather sensors : Environmental conditions- temperature, wind speed, humidity and precipitation. Crop health sensors : Monitor chlorophyll levels,
  • 6. ACTUATOR APPLICATIONS • Robotic equipment for planting and harvesting. • Automated irrigation systems. • Precision planting and seeding. • Adjustable equipment and implements. • Climatic control in greenhouse gases.
  • 7. COMMUNICATION IN SMART FARMING o Wireless sensors networks o Internet of things o Mobile networks o Machine-to-Machine communication o Satellite communication
  • 8. BENEFITS OF EMBEDDED SYSTEMS IN AGRICULTURE :  Resource optimisation Increased efficiency and productivity  Environmental Sustainability  Cost savings  Data-Driven decision making  Remote monitoring and control Reduce manual labor Automated monitoring
  • 9. CHALLENGES • Cost of implementation • Limited connectivity in rural areas • Power supply • Skills and training • Data security and privacy SOLUTIONS Government support and subsidies  Training programs Energy efficient designs Encryption and access control
  • 10. FUTURE TRENDS Artificial intelligence and machine learning Robotics and autonomous machinery 5G and beyond connectivity Block chain for supply chain transparency
  • 11. CONCLUSION In conclusion, the integration of embedded systems in smart farming heralds a transformative era for agriculture, marked by precision, efficiency, and sustainability. The deployment of sensors, actuators, and intelligent devices has revolutionized traditional farming practices, offering benefits. Challenges, including data security concerns and initial investment costs, are resolved through standardization, encryption measures, and government support. As smart farming continues to evolve, future trends like AI, and blockchain integration within embedded systems promise even greater