IoT Based Approach for Smart Irrigation System Suited to Multiple Crop Cultivation

India has always been an agriculture-dependent nation. This paper proposes an advanced automated irrigation approach suited to Indian cultivation practices. Heretofore, the proposed systems and research work were focused on single crop cultivation, whereas the Indian farmers follow multi-crop cultivation. This paper is structured upon Indian agriculture system and Indian weather conditions. This model applies the technology of the Internet of Things and Data Science to implement real-time analytics of the collected data. Multiple sensors are deployed in the field to create an on-field dataset into the cloud system. The cloud system scraps the required data from the meteorological center and compares it with the on-field data set. The analysis is then done using the concepts of data science to determine the amount of water to be released according to each crop type in the field. The proposed system is highly efficient and economically feasible. The system also provides a mobile application which helps the farmer to track the developments occurring throughout the field.