Use of big data technologies in animal husbandry

Alexander Sokolov,Andrey Volkov,Vera Batova,D Rudoy,N Ugrekhelidze,A Olshevskaya

doi:10.1051/e3sconf/202127302030

Abstract

The growing interest in big data is driven by several identified factors. Nowadays, humanity uses a large number of equipment that generates multi-format signals and the amount of the generated information is growing exponentially, but the biggest part of this data is unstructured information. In this regard, choosing relevant information and achieving correct interpretations of its flow are becoming more relevant and complex issues. The technologies of Big data allow processing huge volumes and diverse compositions of information that can be regularly updated and located in different sources. The use of theses technologies leads to an increased work efficiency and competitiveness, and develops new knowledge. In this paper, the purpose of the study is to investigate and identify the opportunities of business processes’ digitization in agricultural production.

Highlights

IntroductionAccording to an IDC study, investments in IoT technologies will reach 1 trillion dollars by the end of 2020, which is a clear indicator that the number of "smart" and connected devices will grow
In our modern world, many sources of big data can be identified: Incoming data from measuring devices, Events from radio frequency identifiers, Streams of messages from social media, Meteorological data, Earth remote sensing data, Data flow indicating the subscribers’ location in a cellular network, Information from audio and video recording devices.According to an IDC study, investments in IoT technologies will reach 1 trillion dollars by the end of 2020, which is a clear indicator that the number of "smart" and connected devices will grow
That for a long-time agriculture was not an activity that attracts investors, because of its long production cycle which is subject to natural risks and high yield losses; it is very difficult to automate the biological processes occurring during the cultivation of a specific product; it is practically impossible to predict an increase in productivity; innovation can be a big risk to take

Summary

Introduction

According to an IDC study, investments in IoT technologies will reach 1 trillion dollars by the end of 2020, which is a clear indicator that the number of "smart" and connected devices will grow. The number of devices and sensors that collect and transmit data will grow exponentially. The flows of information generated by these connected devices will grow. Big Data technologies include more than just analyzing big amounts of information. The problem faced is not the quick growth of data volumes, but the format in which they are represented that does not correspond to the traditional structured database format (DB)

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