Agriculture and its allied activities play an important role in the economy of a nation. The ever growing population of the world and the unexpected changes occurring in environment makes it necessary to replace the age old agricultural practices with climate sustainable agriculture practices. The emergence of Artificial Intelligence (AI) and its allied fields have opened new avenues in the field of agriculture. Recent hybridization of IoT (Internet of Things) with AI fields has enabled the merging of intelligence in network of devices connected through internet facilitating availability and efficient analysis of huge amounts of real-time agriculture data. The present study is done with following objectives: (i) to study the role of AI and its related fields in agriculture, and (ii) to explore the future of various hybridized techniques being used in different areas of agriculture.
In times when everything is online, one thing which is common in every application is the use of data. Data is being generated every second, when applications are generating exponentially larger data sets every second it’s the big data which comes into effect. The major objective of this paper is to state the meaning of big data, figure out various ways as how to digest this data. Further this paper will also focus on the applications of Big Data in multiple segments: Finance, Banking and Securities and Health Care Sector .
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