An Intelligent Self Adaptive System to Automate the Sprinkler Control

It has been seven years since California is in serious drought. The dam holds rare water, and for some area the plants and people are suffered. While the technologies of desalination and reusing water is improving, it is significant if we solve the problem from the root, which is reducing water usage and saving water. Since eighty percent of water in California is used for agriculture and greening, it is efficient if we break through the system of irrigation. Currently, there are many ways to reduce watering in agriculture such as dropping water drops from pipes instead of spraying water; however, there are now resolution addressing the system of private watering yard in communities. The sprinkler device that we designed can contribute to reduce the water that is sprayed through sprinkler by adjusting the status of sprinklers (turning on or turning off) base on real-time weather conditions (temperature and soil humidity). Our purpose is to reduce the spraying water as much as possible if the weather condition allowed.