The Future and Scope of Big Data Analytics in Enhancing Agriculture Sector

Abstract

The expected human population is to grow upto 9 billions by 2050 is the need for food [1],[15]. Big data capability to fill the void in the existing agricultural practices to drive the increase in crop-yield to satisfy the growing need for food [11],[16].

The Broadband connectivity could be the next hurdle affecting the precision agricultural.

Technology chain, employment of ‘big data’ and Telematics services. Without connectivity adequate of the transferring ‘big data’ from cloud or machine-to-machine, inefficiencies are created.

The methodology DEA more useful to estimate the foregone societal value and farm-level profitability due to lack of broadband connectivity [18]. In addition to constraining the profitability of agricultural firms; lack of broadband connectivity limits of precision agricultural technologies is adoption that make use of or relies upon near real time connectivity.

The producers that have adequate connectivity to employ ‘big data’ and telematics will be more efficient than producers without is an excepted results. Thus, the adequate connectivity importance is can be evaluated [1].Depend on that storing of data in big data, we map the population of world and need of food of the population of world.

Using statistical analysis of big data for future population and needed food for the world are provide in statistical analysis provide by using the charts like histogram and graph [1]etc….