Real Time Assistance To Farmers And Health Sectors

Pakistan's principal natural resources are arable land and water. Agriculture accounts for about 18.9% of Pakistan's GDP and employs about 42.3% of the labor force. Presently, Pakistan is facing the worst locusts invasion in 20 years which is destroying cotton crop and wheat harvest. Furthermore,&nb

Project Title

Real Time Assistance To Farmers And Health Sectors

Project Area of Specialization

Internet of Things

Project Summary

Pakistan's principal natural resources are arable land and water. Agriculture accounts for about 18.9% of Pakistan's GDP and employs about 42.3% of the labor force. Presently, Pakistan is facing the worst locusts invasion in 20 years which is destroying cotton crop and wheat harvest. Furthermore, it is very difficult to carry plants and crops to the agriculture specialist due to their non-availability. Due to time delay the condition of plants get worse resulting in huge financial loss to the farmer. Therefore, there is a dire need to develop an automated solution that helps farmers in identifying the diseases to plant, connect farmers with agriculture specialist and inform farmers about possible insect attack including locusts beforehand. We propose an android application which detect plants symptoms and their diseases through sensors. Symptoms will be forwarded to the agriculture specialists for the expert treatment.  User problem will be saved in the databased for further processing. Machine learning algorithms will be developed to predict the plant diseases. According to the symptoms of the disease health care service will be provided which will examine the disease and give its medical recommendations. The automated application adopted by the farmer will bring positive impact on the Pakistan’s agriculture economy.

Project Objectives

To provide the real time assistance to Pakistani farmers and common people who at present are not getting the timely treatment. The aim is to diagnosis the plant diseases, connect the farmers to agriculture specialist for the diagnosis and treatments of plant diseases. Another objective is to overcome the time delay issues resulting in huge financial loss. The proposed project is named Real Time Assistance to Farmers. The implementation includes developing novel machine learning algorithm, database and a circuit embedded in gardening area where crops ripe and plants grow through which farmers can control and look after their crops and make it easily manageable with one click.

Project Implementation Method

Our whole Arduino setup will be placed in fields where farmers want to diagnose their crops. The sensors attached with Arduino setup will help in scanning the symptoms and diseases of those crops which are placed near to the sensors this data is stored in the database and if the farmer ping the data then alert will be sent to the specialist. And the specialist will give the recommendation of the disease which will match with the predicted results given through machine learning. This will help the specialist to recognize the disease more accurately.

Benefits of the Project

• To provide the real time assistance to Pakistani farmers and common people who are not getting the proper timely treatment
• Diagnosis the plant diseases and the solution of their treatment
• Availability of the agriculture specialist who diagnose the diseases and provides its treatments
• Overcome the issue of the time delay
• Dealing with the agriculture problems
• Solving the issues of locusts invasion
• Bringing positive impact on the Pakistan's agriculture economy

Technical Details of Final Deliverable

Our proposed system is real time assistance to farmers . Firstly, farmer must have hardware project setup linked with desire crop which he wants to diagnose from the suitable specialist. The sensor subsystem is a set of tools and sensors that are connected to a microcontroller board called Arduino board. Sensors are used to measure essential values of the planting process including temperature, humidity, moisture. The sensed values are then uploaded and directed to the server using a Wi-Fi module integrated on the same Arduino board in the form of result secondly, the stored data in database send to the specialist automatically if the data being stored is ping giving alert to specialist. Diseases and the problems align in the form of list. Specialist can see which problems has to diagnose and which problems have been resolved. The problem which the specialist wants to diagnose will pop up in next page as the details of crop’s syndrome as well as the Machine Learning which predict the detail of diseases and problems using linear regression, random forest and support vector regression (svr) models to predict accuracy which results in helping the prescription given by specialist matched with it. The specialist prescription will redirect which save and load data towards database.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Agriculture , Health

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Cloud Infrastructure

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth, Climate Action

Required Resources

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