Adil Khan 9 months ago
AdiKhanOfficial #FYP Ideas

Authenticating use of Agriculture Machinery using Data Analytics and AI

Major chunk of Pakistan?s economy is agriculture based. Improving the productivity of agriculture farms is very important for the overall growth of the economy. This productivity is heavily dependent on using the right machinery at the right time in farms, in a cost-effective manner. According to a

Project Title

Authenticating use of Agriculture Machinery using Data Analytics and AI

Project Area of Specialization

Artificial Intelligence

Project Summary

Major chunk of Pakistan’s economy is agriculture based. Improving the productivity of agriculture farms is very important for the overall growth of the economy. This productivity is heavily dependent on using the right machinery at the right time in farms, in a cost-effective manner. According to a survey conducted by Agriculture Department Government of Punjab, 47% of agriculture machinery is under-utilized in the Punjab Province. In Pakistan, state-of-art technology needs to be deployed to smartly utilize the available farm machinery. Which could drastically increase the production of our farms and have a positive impact on our economy.

In this project, we are proposing a smart system where the machinery owners would be able to rent out their under-utilized machinery to a recipient in need of it. We are using state of art technology including Internet-of-Things (IoT), Cloud, Data Analytics and Artificial Intelligence (AI) for efficient resource allocation and authentication of the rented machinery.

The system comprises of two mobile applications interfaced with the IoT module and a cloud based architecture maintaining a database, AI scripts are also deployed on cloud. The Data from IoT that is placed on the agriculture machinery is collected via a smartphone and sent over to cloud, where it is analyzed and processed through the AI algorithms. We are able to determine the accurate work area of machinery, the duration of work, classify the implement type and perform other analysis. Figure below provides an overview of the project.

Project Objectives

  1. Implementation of a two data collection mobile applications
    • Service Provider application
    • Service Recipient application, interfaced with the IoT module
  2. Establishment of cloud based database, data collection mechanism.
  3. Implementation of data processing scripts and Artificial Intelligence (AI) Algorithms on cloud.
  4. Authenticating the use of agriculture machinery by Artificial Intelligence (AI).
    • Finding precise work area of the farm machinery
    • Determining the number of runs by the machinery on a field.
    • Classifying the machinery implement type.
    • Generating a bill for service recipient based on calculated work area and machinery implement type.
  5. Make available the AI module as an API that could easily integrate with web and mobile platforms.
  6. Web Portal / Dashboard for administrator.

Project Implementation Method

The first step is to develop a recipient mobile app which would enable the user to select the available resources after logging in. The app is interfaced with an already built IOT module. IOT module is placed on the agriculture machinery. The IOT module would be Bluetooth enabled that would send data via Bluetooth to the smartphone. The smartphone app collects the data. The data would then be transferred to cloud via WIFI/3G/4G technology.

The data sent to the cloud will show.

  1. GPS coordinates (longitudes and latitudes)
  2. Gyroscope 3-axis data
  3. Accelerometer 3-axis data
  4. Temperature
  5. Humidity
  6. The duration of machinery used

The data is stored in a cloud based data store such as AWS S3. The AI models for achieving the objectives as mentioned above are trained on a local machine and the trained model is deployed on cloud.

The process would then be stream lined on cloud where upon each entry in S3, the data is imported and pre-processed. The pre-processed data would be passed to the trained AI scripts which would store the result in a DB service. The AI module would be made available as an API using cloud services like API Gateway. After which we could call the API from web, mobile app etc.

Benefits of the Project

  1. Efficient utilization of Agriculture Machinery, which would have direct impact on production of farms.
  2. Data Generation / Collection to study our farming methodologies.
  3. Fraud detection using the AI based authentication system.
  4. Ability to study the drivers behaviour and its impact on percentage productivity.
  5. Generate a Bill for service recipient based on the machinery usage.
  6. Calculation the exact work area of agriculture machinery using GPS data.
  7. Ability to administer the system using a web portal.  

Technical Details of Final Deliverable

1. Service Provider Mobile Application

The Service Provider with available machinery would be able to rent out his machinery using the service provider mobile application.

2. Service Recipient Mobile Application

The Service Recipient would be able to look for available machineries nearby and reserve a machinery. This Application would also be interfaced with the IoT placed on machinery for data collection.

3. Cloud Architecture

A database of all services and records would be deployed on cloud. The cloud services would also help streamline the data collection process. The AI module will be deployed on cloud and the Web portal would also be hosted on it.

4. AI Module

The AI module is the core of the system which would enable the authentication process of rented machinery, by measuring precise work area, determining the number of runs on a field, classifying the machinery implement type and generate a bill based on the calculated values.

5. Web Portal / Dashboard

On one of the web portal, the administrator will be able to see how and where the farm machinery is used.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Agriculture

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT), Cloud Infrastructure, Big Data

Sustainable Development Goals

Zero Hunger, Decent Work and Economic Growth, Responsible Consumption and Production

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
TI 2056 IoT Sensor Tag Equipment6800048000
Cloud Resources (S3, Lambda, RDS) Equipment11000010000
IoT Packaging/PCB Equipment6200012000
Data Collection, Printing, Stationary, Overheads etc Miscellaneous 11000010000
Total in (Rs) 80000
If you need this project, please contact me on contact@adikhanofficial.com
Undergraduate Program

Our Waste Management System will be a step up from the usual garbage collection methods in...

1675638330.png
Adil Khan
9 months ago
EMG based Pattern Recognition Using Pattern Recognition Technique

This Project will be Use to identify the Human Gender via EMG signals. The EMG signals Wil...

1675638330.png
Adil Khan
9 months ago
Digital Shop Management System

SEARCH Digital Journal Convenience Store Management System Market Analysis 2022 With Top...

1675638330.png
Adil Khan
9 months ago
Machine vision platform for industrial applications

Our vision is to provide innovative machine vision solutions aiming to improve the safety...

1675638330.png
Adil Khan
9 months ago
Intelligent Multifunctional Home Energy Management System using renewa...

The proposed design of Home Energy Management system (HEMS) is an effort toward reduction...

1675638330.png
Adil Khan
9 months ago