Kisan in Tech
Agriculture plays a dominant role in the growth of the Pakistani economy contributing nearly 25 percent towards Gross Domestic Product (GDP). The productivity of these crop producers has remained low and stagnant because many holdings comprise old trees with severe pest infestation. For example, the
2025-06-28 16:33:56 - Adil Khan
Kisan in Tech
Project Area of Specialization Artificial IntelligenceProject SummaryAgriculture plays a dominant role in the growth of the Pakistani economy contributing nearly 25 percent towards Gross Domestic Product (GDP). The productivity of these crop producers has remained low and stagnant because many holdings comprise old trees with severe pest infestation. For example, the potential losses due to pests worldwide are estimated to range from 50% in wheat to 80% in cotton production. To reduce huge productivity losses due to pest infestation, therefore there is an immense need for the adoption of modern integrated pest management (IPM) practices in crop farms. This Project could be seen as a part of a broader effort to promote a sustainable system of agricultural production and to raise the incomes of crop farmers who suffer considerable yield losses caused by pests, diseases, and poor agronomic practices. The Project promotes the adoption of cost-effective pest prevention techniques and also provide facilities to the farmer . This application will be in Urdu language for better understanding of the farmers.
Project ObjectivesThe expected outcome of the Project is the adoption of cost-effective technologically integrated pest management practices by crop farmers, hence increasing the productivity of the crops and strengthening selected farmer groups. The Project will target existing farms devoted to crops (wheat, cotton) in the province of Sindh. Communicating the results of these efforts, the benefits of IoT based IPM and relevant policy decisions to the crop farmers widely.
The project will meet the following objectives:
- It will provide assistance to monitor crops by notifying the farmers through wireless sensors networks.
- Timely pest detection to increase productivity
- It will provide pest control management.
- It will provide pest prevention technique.
- Real-time behavioral monitoring of crops.
- Save resources and provide cost effective solution.
| Activities | Locations | Methodology/ Procedure | |
| 1 | Capacity building & Awareness
| Karachi | training related to technology, Safe Management of Chemical Pesticides (transportation, storage, handling, storage of empty pesticide containers and final disposal, Decision making on the selection of IPM approaches or options, consultation with domain experts, IPM Implementation using image sensors, temperature sensors ,sound sensors and real-time monitoring using image and sound recognizing algorithms |
| 2 | Environmental management
| Karachi | Environmental management in pest control: Equipment and sensors; real-life test-bed implementation; improved species, Pest surveillance |
| 3 | Project management | Karachi | Monitoring and evaluation through gathering real-time data by deploying a project on a cotton field |
1
2
3
Benefits of the ProjectTimely pest detection increases the productivity of crops. This would contribute significantly to the Project’s goals:
(a) To enhance and protect the environment.
(b) To improve product quality, and increase productivity and the incomes of farmers.
Technical Details of Final DeliverableThis project will be comprised of four basic components:
- Pest monitoring through IoT based wireless sensors i.e. image, motion and temperature sensors.
- Pest identification through image and sound processing algorithms.
- Determination of economic injury level
- Pest control strategies and determining the quantity/type of pesticide required depending on the injury level.
Motion Sensor
Passive Infrared (PIR) Detects body heat. It is used to detect the pest.
Night Vision Camera
To timely capture images of the pest. After capturing the image, the image processing algorithms will be applied for extracting information that will be, name and count of the pest.
Raspberry Pi B+
Raspberry Pi is a credit card sized computer that can be hooked up to a monitor or screen and used for hundreds of activities. It uses an SD Card to download operating systems and is charged with a small USB cord. All you need to get started is a mouse, an HDMI cord, and a keyboard. It will work as a controller for sensors connectivity.
Android Studio: Windows and Linux both support android studio, the current version we are using is 3.3.2 with lollipop and marshmallow operating system.
Python IDE: Python IDE is used for coding the sensor to communicate with hardware devices.
Database:
SQLite Database: It will be having all the information related to our system. User's login, registration, useful solutions, updating, transactions done through the database. Android studio version 3.3.2 uses inbuilt database support called SQLite. Which provides and support many features to handle database in an easier way.
For Communication:
GSM module: GSM/GPRS module is used to establish communication between a computer and a GSM-GPRS system. Global System for Mobile communication (GSM) is an architecture used for mobile communication in most of the countries. A GSM module can receive, send or delete SMS messages in a SIM. We are using the GSM module in order to send a notification to the farmer.
Final Deliverable of the Project HW/SW integrated systemType of Industry Agriculture Technologies Internet of Things (IoT)Sustainable Development Goals Responsible Consumption and ProductionRequired Resources| Elapsed time since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Project planning | Work Plan Document |
| Month 2 | Requirement Gathering and Analysis | Software Requirement Specification Document |
| Month 3 | Project Design | System Prototype |
| Month 4 | Project Hardware Implementation | Sensor installation and Connectivity |
| Month 5 | Project Software Implementation | Android Application |
| Month 6 | Project Software Implementation | Pest detection Application Module |
| Month 7 | Project Software Implementation | Pest identification Application Module |
| Month 8 | Project Software Implementation | Pest identification Application Module |
| Month 9 | Project Integration | Integration of the different project modules |
| Month 10 | Test Bed Implementation | Test bed development |
| Month 11 | Project Deployment on field | Monitoring and real time data gathering |
| Month 12 | Project Deployment on field and Farmer Training | Monitoring and real time data gathering and workshops |