Cloud Computing Framework for Agro – Advisory System

In country like India, the technology should be provided to farmers with appropriate guidance to save their crops and their lives. We focused on introducing the latest technologies such as sensors, Cloud computing to radically revise approaches to agriculture by collecting the data about the various parameters of soil, analyze the data and performed the computations, giving the best optimal solutions for the farming to establish a hypothetical model of Cloud services that make a research based contribution to agriculture. On the basis of the knowledge acquired through actual agricultural operations and subsequent analysis, we describe the affinity between agriculture and Cloud computing and discuss how the technologies used in the information exchange that can be applied to other fields. The multi-modal sensory devices have been deployed to capture real time value of the soil parameters such as pH level, temperature, water absorption capacity etc. so that the value is presented to the expert database and the computation will be performed accordingly at the cloud informative services. The application of cloud computing in agricultural economy will open up a vast range of prospects, such as the vast storage of agriculture information, the cloud management of agricultural production process, the online cloud storage of agricultural economy information, early-warning and policy-making based on the agricultural products market, the tracing management of agricultural products quality. Cloud computing is a flexible IT model. It is characterized by rapid elasticity, measured service, on-demand self-service, broad network access, resource pooling. Huge amount of data is collected by the sensors from the end subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective ways. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. Keywords-Cloud computing; Soil sensors; Tracing management; pH level. __________________________________________________*****_________________________________________________