Low-Cost Green Power Predictive Farming Using IOT and Cloud Computing

Internet of Things (IoT) is the development of new technology that helps us to solve many complex real-time applications with low cost of power and minimum resource involved with very low price and powerful performance of single task and multi-task. One of them is the solution applied to Predictive Agriculture (PA) it has the capability of gathering ongoing information on various parameters identified with farming. This paper presents a low-cost power flexible and reliable predictive farming system using IOT with the cloud computing platform. Wireless Sensor Network (WSN) gives ease, low vitality utilization, simple to execute arrangement in spots of trouble some access for the usage of wired systems. Here we collect real-time information using different sensor nodes (NodeMCU) and sent them into a master node (Raspberry Pi) , and then sends the data into the cloud for processing and takes required actions. Predictive farming is an approach to advance assets and improve development through the gathering of important data and deploying wireless sensor networks systems. This will result in getting a more predictive decision which will result in high economic growth of the country, in turn, helps the farmer to yield good results with decision towards watering, type of the fertilizers to be used, kind of environment to be well within the place.