software based smart farmer assistance system

Our country is an agricultural country and most of the population of our country is based on the agriculture and livestock?s. The weather is the one of the most important factor in the Agriculture field most of our farmers are facing the loss due to the weather uncertainty. The purposed hardware wil

Project Title

software based smart farmer assistance system

Project Area of Specialization

Artificial Intelligence

Project Summary

Our country is an agricultural country and most of the population of our country is based on the agriculture and livestock’s. The weather is the one of the most important factor in the Agriculture field most of our farmers are facing the loss due to the weather uncertainty. The purposed hardware will assets the farmers in an efficient manner to increase the productivity of the crops.

Project Objectives

The main objectives of the hardware are shown in the list below.

• To Make the smart control system.
• To make the monitoring system for the fields.
• By the use of this hardware and the software we can check the weather predictions easily.
• To sense the farm condition by using different sensors.
• To increase the overall productivity of the crops.

Project Implementation Method

The components used in the implementation methodology of this hardware is listed below.

• Desktop Application
• Arduino Uno R3
• Motor
• LCD Module
• 12c Module
• Soil Sensor
• Moisture Sensor  
• Variable Resistor
• Sensing Probes
• Auto Feeder
• Auto shade
• Relay
• Capacitors
• Step Down Transformers
• Rectifiers
• Diodes
• Capacitors
• Resistors
• 

 

Benefits of the Project

}Crops and Soil Monitoring

}Auto Seeding

}Auto Shading

}Auto Raining

}Weather Tracking

Technical Details of Final Deliverable

Based on our research, the most popular applications of AI in agriculture appear to fall intothree major categories:
Agricultural Robots:

Companies are developing and programming autonomous robots
to handle essential agricultural tasks such as harvesting crops at a higher volume and
faster pace than human laborers.
Crop and Soil Monitoring:

 Companies are leveraging computer vision and deep-learning algorithms to process data captured by drones and/or software-based technology to monitor crop and soil health.

Auto Seeding:
This hardware helps us in the auto seeding process by the use of automatic mechanical system.

Auto Shading:
In case of hot weather the auto shed for sun protection is used in this project for the more efficient operation.

Weather Tracking

Although we still make jokes about our local meteorologists, the truth is that computerized weather modeling is becoming increasingly sophisticated. There are online weather services that focus exclusively on agriculture, and farmers can access these services on dedicated onboard and handheld farm technology but also via mobile apps that run on just about any consumer smartphone. This technology can give farmers enough advanced notice of frost, hail and other weather that they can take precautions to protect the crops or at least mitigate losses to a significant degree.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Agriculture

Other Industries

IT

Core Technology

Shared Economy

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

No Poverty

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com