Smart Garden Simulation

Smart Garden Solution

Plant Statistics

Below are the graphs of the plant data:

Soil Moisture

Based on the moisture readings collected by the VH400 moisture sensor and plotted on the graph, it is possible to analyze the watering needs of the potted soil. The graph can provide insights into the moisture content of the soil over time, helping to identify trends and patterns in watering behavior. By tracking changes in moisture levels, it is possible to determine the optimal frequency and duration of watering. The ability to change the time and frequency of these soil mesurements, about every two seconds on the graph below, allows for precise and detailed analysis of moisture levels, ensuring that plants are not over or under-watered. Overall, the graph generated by the vh400 moisture sensor can help to optimize watering practices and improve plant health.

Temperature

The temperature readings were recorded, and the graph shows the changes in temperature within the given timeframe. The graph can provide insights into temperature fluctuations and help to identify trends and patterns that can impact the environment. By tracking changes in temperature, it is possible to determine the optimal range for a specific application, such as ensuring comfortable living conditions in a room, or controlling the temperature of a greenhouse. Overall, the graph generated by the DHT sensor can help to optimize temperature control and improve efficiency in various settings.

Humidity

The humidity readings were taken every two seconds, and the resulting graph shows changes in humidity levels over the given timeframe. The graph can provide insights into humidity fluctuations and help to identify trends and patterns that can impact the environment. By tracking changes in humidity, it is possible to determine the optimal range for a specific application, such as maintaining ideal humidity levels for the sensitive electronic equipment or different varieties of plants.