Kib-e is an experiment that aims to build a fully self-sustained home plant growing system.
Growing plants at home can be a pretty hard: environments such a yard, a small garden or a balcony may represent a difficult scenario for a plant to grow in.
This project aims to create a smart platform that helps in keeping home plants from having a really short live after being planted in a home pot.
Yet, this is not simple nor universal, in fact a plenty of challenges are present. Some of them are:
- Each plant has different water, light, temperature and humidity needs
- Each plant presents different traits - is there a way to construct a probe to detect the plants life quality, in order to act upon it?
- Each environment is different too: some areas may be hot, windy or cold - part of the question is: how can these areas be used to sustain the plant life?
- Different other problems may cause a plant death: such as Aphids, root bounding and more.
Kib-e is build around different components, logically and responsibly divided:
- The intelligence
- The board
- The sensors
The Intelligence is the main processing units: its duty is to save sensors data and build actionable plans based on it. The latter will also make use of the environment data, historical and publicly available data.
The board is responsible to act as intermediary between the intelligence and the sensor: it is, in fact, capable of both capturing sensor data and action upon plans received from the intelligence. Further task and responsibilities include environment discovery and backup strategies (in case no connection with intelligence was available).
Sensors are responsible to, well, provide input data. Humidity, light intensity, temperature, space navigation coordinates (and others) are needed to allow intelligence to have data to act upon.