n this project, you are required to implement a simulation of a Smart Farming system. you

should assume that some input values $($user inputs$)$ are coming from Sensors, since we are not

incorporating sensor hardware$$s in this project. Before starting this project, research about the

domain of smart farming and try to understand about the required inputs and outputs.

Configure them as needed.

Here, you are supposed to model various types of sensors and irrigation strategies.

$1.$ Define an interface named Sensor with methods to read sensor data such as

readMoistureLevel$()$ and readWeatherCondition$().$

$2.$ Implement classes SoilMoistureSensor and WeatherSensor that inherit from the

Sensor interface. These classes should simulate sensors to read soil moisture levels and

weather conditions, respectively.

$3.$ Create an abstract class named IrrigationStrategy with methods such as

determineIrrigationAmount$()$ and scheduleIrrigation$().$

$4.$ Implement concrete subclasses of IrrigationStrategy, such as BasicIrrigationStrategy

and AdvancedIrrigationStrategy, which utilize different algorithms to determine when

and how much to irrigate based on sensor data.

BasicIrrigationStrategy:

$1.$ determineIrrigationAmount$($double moistureLevel, String weatherCondition$)$:

$$ This method calculates the amount of water needed for irrigation based on the

current soil moisture level and weather condition.

$$ It may use simple heuristics or predefined thresholds to determine the

irrigation amount.

$2.$ scheduleIrrigation$()$:

$$ This method schedules irrigation sessions based on predetermined intervals or

fixed times of the day.

$$ It does not take into account dynamic factors such as weather forecasts or soil

moisture trends.