A Robust Large-Scale Information Analysis Platform Designed Specifically for the Farming Industry

With technological refinements, the web is awash with information. People are generating content promptly; the outcome is that there are more questions and limited answers. In an expansive range of application areas, data is being acquired at an unprecedented scale. Formerly, the conclusions were made either hypothetically or heuristically, but today decisions are based on data itself. As a result, the previous procedures have come out as a failure, and now there is a need for newer strategies that can regulate the data and generate knowledge that is significant in every aspect of modern society, including the mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. The technique that has been around since 2005 comes to mind that is Big Data. Big Data exemplifies to the datasets that are not only large but are also remarkable in varity and velocity. Decision-makers need to be able to attain valuable insight from big data. Such type of practical understanding can be empowered using the big data analytics that can be specified as a process of collecting, organizing, and analyzing large sets of data for discovering patterns and other useful information. Big data analysts want the knowledge that comes after evaluating the data. From the last 50 years, the world's population has doubled, and that's generating a high demand for food (Kitzes, J. et al., 2008). Some of the studies predict that the world's population will become 8 billion until 2050, which symbolizes that food production must be expanded. Many studies have been undertaken in the last thirty years to satisfy these demands.