Automated Irrigation for Smart Gardening based on IOT using sensors

Abstract

The external need of every person in this world is oxygen. Plants play a vital role in maintaining the carbon dioxide and oxygen content of the air. A lot of plants are destroyed every day due to the urbanization process. The number of plantings made will also decrease. In addition to these things, more plants die due to a lack of maintenance. Smart gardening represents the application of modern information and communication technologies to planting. It automatically checks the soil moisture under the tree and plants in the garden and if the moisture is low, it displays a message and automatically pours water to the plants from the water tank to which it is connected. Precise application of the irrigation method is required as there may be a lack of rainfall or there may be dry areas. For this reason, an automated irrigation system is used, which it is suitable for all climatic conditions. The soil moisture sensor will sense the water content and indicate whether to pump water or not. This will help reduce water wastage and also help plant growth even when one is not physically present. Internet of Things (IoT) enables various plant monitoring and selection applications, automatic irrigation decision support, etc. sensor data related to soil moisture and temperature captured and accordingly KNN (K-Nearest Neighbor) classification machine learning algorithm deployed to analyze sensor data for prediction to irrigate the soil with water. It is a fully automated system where devices communicate with each other and use intelligence during irrigation. The main goal of this project is to preserve the nature of plants by constantly monitoring the parameters leading to an increase in the life of plants and humans.