Distribution of Water Using Machine Learning and Data Analytic Techniques for Agricultural Purposes

Our paper is based on the present and future environmental issue in which there would be a vast demand for water for domestic purposes and for miscellaneous purposes. Our idea is to identify the future climate with the help of Big Data in which we have stored the climate and rainfall details and calculate the future rainfall and suggest the type of crop to harvest with the help of calculated climate and rainfall details and by comparing them with the previously stored data of past climate and rainfall information and distribute the water for agricultural usage according to the need of the crop advised through the water storage. This will lead to good profit for the farmers and thus a good profit for the government and more importantly we can avoid the loss of lives of our farmers which is the highest concern. Several studies are being conducted on this topic and many innovations are emerging day by day. By these innovations there are a lot less requirements for direct human intervention. The concept of IoT involves Big data and cloud computing through which we are accessing and storing the data of the climate and rainfall details. And more importantly the security purpose is achieved through Iot.