Crop Water Requirement Prediction in Automated Drip Irrigation System using ML and IoT

India is an agricultural country and the majority of the population depends on it. Due to global warming and gradual depletion of natural resources, use of water resources should be done in an efficient and precise manner for farming. This paper proposes to automate the tedious process by proposing a micro-controller based system for automatic smart drip irrigation and to predict the precise amount of water needed by the crop. Taking into consideration the weather, soil and crop parameters it will predict the quantity of water that should flow accordingly through drip irrigation with the help of sensors. This can control the moisture content of the soil in the cultivating field. Not only will it help the farmer to use water wisely in future but also the water supply to crops will be automated based on the conditions which is a win-win situation for both the farmer and the environment, leading to a good crop yield in a consistent manner.