Using embedded systems to optimize the care of indoor plants

Abstract: Over the last few years the interest in indoor plants has increased. Whether they are used for decorating, as mood boosters or sometimes as food in cooking, people want to come closer to nature by bringing it into their homes. However removing plants from their natural habitat could have negative implications on their well-being. In order to achieve an optimal environment, the current location for the plants need to emulate their native environment. Taking sunlight and watering  into consideration isn’t always enough: temperature, humidity, soil nutritional level and soil pH level are also factors that needs to be monitored. This thesis covers the creation of a prototype that measures sunlight, temperature and humidity, compares the measurements to a database of plant needs, and then displays the result on a website. The aim is to enable a more effective care of indoor plants. In the end a system was created that can take measurements, are capable of comparing the two sets of data and then visualize the result on a website for the user.