Data Analysis on Home Forestation Using IoT

Abstract

This paper automates plant monitoring, data collection, and smart gardening using IoT. Home forestation (such as gardening) on rooftops, balconies and the living room has nowadays become common in urban areas because there are fewer land resources to plant trees. Also, it increases the interior beauty of a house. In urban areas trees are decreasing day by day at an alarming rate. At the same time, the population is increasing inversely proportional to trees. As a result, the air is polluted at a massive rate in urban areas. Home forestation or gardening is a smart solution to this life-threatening problem. In urban areas, people lead busy lives. They have less time to do gardening with proper knowledge. Even if they try to do gardening with less information, most of the time they fail. A plant needs 4 basic elements to grow such as: Light, Humidity, Temperature, Soil moisture. Every plant requires different environmental variables. The motive of this research is to conduct data mining on these four elements in the home environment to analyze the environmental requirements for the survival of each plant based on Plant taxonomy. In the future, it will help me to make a smart platform “Eco Friend” which will suggest to users the plants that are best for their home environment. The data will be collected using IoT including the device NodeMCU, Sensors and later analyzed with Data mining tools.