Robust Smart Irrigation System using Hydroponic Farming based on Data Science and IoT

Agriculture has become passion in developing countries like India. People are encountering lot of problems in the field of agriculture. Even today in India in many places traditional way of farming is being practiced which requires human intervention. Due to technological advanced the present people are interested towards smart irrigation system than traditional farming. Due to lack of time people are not able to spend time in traditional farming, to assist the people who are in urban and metropolitan cities, Hydroponic farming, an approach of smart irrigation system is implemented in this paper. In the traditional framing technique water and space is abundantly required, this irrigation approach minimizes the use of water and reduces the space. This proposed work aims to build an automated irrigation farming system that incorporates the data from all the sensors connected to the Raspberry pi and transferred to IoT server through the network. Meanwhile the data stored data can be read to know the status of the system by the user on web based application. Knowing the status of the system the user can turn on/off the motor to water the system when required. The plants growth can be predicted by collecting the data of sensor readings using machine learning technique.