Design and Implementation of Adaptive Control Algorithm for IoT Based Domestic Irrigation System

With how busy our lives are, it is easy to forget to pay a little attention to our thirsty indoor plants until it's too late and we are left with a crusty pile of yellow carcasses. People often show their careless nature towards plants and forget to take care of them for their better growth so we decided to make a system which requires minimum attention. The proposed model is a compact, automated, Node MCU-powered plantation system to monitor and control the irrigation system. This system's memory is impeccable and never forgets to water your plant. Compared to other types of plantation system available the market, the proposed system is different in many ways as in it automatically determines the requirement of water for various plants. A neuron is used which takes feedback from the user about water requirement of the plant and depending on the feedback, it learns and adjusts the amount of water supplied to the plant next time. The default moisture level values of various commonly available plants are present in our database and can be initialised with the help of a mobile application. It minimises human intervention, that too at a very low cost.