Big Data Analytics in Agriculture
R. Narmadha*
Dept. of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India
P. Murali Arthanari
Dept. of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India
R. Arockia Infant Paul
Dept. of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India
DOI: NIL
Keywords: Agriculture, Big data, Data analysis, Precision agriculture
Abstract
In India, majority of the farmers are not getting the expected crop yield due to several reasons. In this situation, using multiple elements that influence production to identify crop adaptability and yield can improve crop quality and yield, resulting in higher economic growth and profitability. As a result, many farmers have begun to employ new technology and methods to improve their farming operations. Big data, machine learning and artificial intelligence (AI) can play a key role in this process. Big Data Analytics is a Data-Driven technology useful in generating significant productivity improvement in various industries by collecting, storing, managing, processing and analyzing various kinds of structured and unstructured data. Big data analytics are important to the core of various applications since data is the raw material which is fed as the input for processing. Volume, velocity, value, veracity and variety are the five V’s which is considered as the characteristics of big data. Hadoop is the main framework for big data analysis which is open source software.
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Reference
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