Design principles
- Encapsulation: each class exposes a clear interface
- Abstraction of real-world field elements
- Dependency injection in the irrigation controller
- Decoupled components that are easy to extend
PROGRAMMING · TYPESCRIPT · NPM
Smart Agriculture
A TypeScript software foundation for precision farming: sensors, smart irrigation, drones and disease detection, published as an npm package.
class IrrigationController {
constructor(
private sensor: Sensor,
private weatherForecast: WeatherForecast,
private irrigationSystem: IrrigationSystem
) {}
decideIrrigation(sensorData: number): void {
if (this.weatherForecast.checkWeatherForecast()) {
console.log("Weather conditions are suitable for irrigation.");
this.startIrrigation();
} else {
console.log("Irrigation not needed based on weather forecast.");
}
}
}- Program
- Computer Programmer program · Lambton College
- Year
- 2024
- Team
- With Julián Casilimas
- Delivery
- Public npm package · v1.0.1
// 01 · THE MISSION
The mission
Smart Agriculture proposes a software foundation to optimize farm production through technology and data. The system models the components of a smart farm—environmental sensors, weather forecasting, irrigation, surveillance drones and disease detection—plus a controller that combines sensor and weather data to decide when to irrigate. I built it with Julián Casilimas: we planned the work, documented the design decisions and published the result as an npm package so it can be installed and reused in other projects. Developed within the Computer Programmer program at Lambton College in Ontario, Canada, following professional standards for development, documentation and version control.
// WHAT WAS BUILT
Teamwork
- Task planning in Trello
- Documentation of the object-oriented design decisions
- README with installation and a usage example
- Version control on GitHub
// ARCHITECTURE
The components of a smart farm
Each element of the field is a class with a single responsibility, so new sensors or technologies can be added without changing the rest of the system.
Sensor
Provides a standard interface to read the type, location and value of each measurement, such as soil moisture.
Weather forecast
Supplies the weather information that determines whether conditions are right for irrigation.
Irrigation controller
Combines sensor and weather data to decide whether to start the irrigation system.
Irrigation system
Runs irrigation when the controller says so.
Drones
Fly to areas of the field for surveillance and data collection.
Disease detector
Scans crops for possible plant diseases.
// RUN
The system in action
$ npm install smart-agriculture $ npm start Sensor ID 2: Moisture at Field 5 reads value: 50 Checking weather forecast... Weather conditions are suitable for irrigation. Irrigation system started. Drone Model X flying to Field 5 Disease Detector Detector Y is scanning for diseases...
Output of the sample program included in the package.
// GALLERY
The project in pictures
Tap an image to see it full screen.
// PROCESS
How I did it
- 01
Analysis
Which elements make up a smart farm.
- 02
Design
One class per component and its relationships.
- 03
Development
Implementation in TypeScript.
- 04
Documentation
Design decisions and usage guide.
- 05
Publishing
Compiled and published on npm.
MISSION ACCOMPLISHED
Results and impact
- A public npm package, ready to install with a single command
- A modular architecture that supports new sensors and technologies
- A collaborative project with planning, documentation and version control
Need a system tailored to your operation?
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