Modelling an Efficient Cloud-based System Approach for Agricultural System

Agricultural field modernization is one amongst the major confronting crisis in India. At present, farmers are undergoing numerous crisis in agricultural fields like market infrastructure, deficiency in irrigation infrastructure and transportation infra-structure in the presence of middle-men chain via where most agricultural commodities may circulate more prior before reaching customers. One probable solution for enhancement is utilization of mobile applications that assist in attaining information from farmers like environmental and location based information. This work explains in detail about providing a solution with classification model using machine learning algorithms integrated with mobile based cloud computing. This makes farmers to work more smartly and improves productivity. This modelling enhances superior development in agricultural modernization, provides smarter agriculture and effectual way to resolve problems relating to farmers, agriculture and so on. Simulation was carried out in MATLAB environment; the anticipated model shows better trade of in contrary to existing approaches.