AgriHome - A smart plant system that measure air temperature and humidity, soil moisture and using lamp for warnings when high sampling indices.
AgriHome is using:
- ESP32 - System On Chip Microcontoller including WiFi and Bluetooth.
- BreadBoard and jumper cables.
- DHT11 - Temperature and Humidity sensor.
- Soil Moisture Sensor.
- Lamp - Color led.
- WiFi.h - This library allows ESP32 to connect your router.
- PubSubClient.h - This library allows you to send and receive MQTT messages.
- DHT.h - This library allows DHT11, DHT21 and DHT22 sensors for measuring temperature and humidity.
- SSD1306Wire - This library allows OLED display.
The ESP device models through sensors several parameters - air and soil temperature and humidity. It transmits the screen, through appropriate Service Edge - (Local services) Red-Node, to the cloud. The communication between ESP device and the cloud will be done via WiFi.
The data will be stored long-term in Firebase database, and will be displayed in graphs: each parameter (temperature, humidity and soil moisture) has a graph that allows viewing historical data based on date / time segmentation.
The data will be analyzed through BigML services and produced a model that allows forecasting and decision-making, for example on the basis of a decision tree, and the model structure can be viewed in a suitable graph.
All sensors are connected to a function that:
- Combine data to a Json file to store it in Firebase database.
- Combine data to a Csv file to store it in a local folder in computer.
Opening a web page for displaying the data from a local file data for each parameter and BigML(next flow) and displaying the data in charts - using Chart.js.
Open connection to BigML site, uploading data source and creating:
- Dataset.
- Humidity ensemble and model.
- Temperature ensemble and model.
- Association - to discover meaningful relationships among dataset fields and their value.
