OPTIMIZING STANDARDS FOR COLLECTING AGRICULTURAL DATA FOR ANALYTICAL PURPOSES

P.K. Kutsenogy, candidate of physical and mathematical sciences, T.A. Luzhnykh, V.S. Riksen Siberian Federal Scientific Center for Agrobiotechnology RAS RF, 633501, Novosibirsk Region, Krasnoobsk, ul. Central, Presidium Email: peter@kutsenogiy.ru

Abstract

The article discusses the importance of using big data in agriculture. Technologies of "big" imply the processing of a huge amount of data of various structured and unstructured data, as well as the use of various tools, methods of their processing, which allowing to analyze information, special solutions for specific goals and objectives. Extracting data from such data sets and improving its intellectual analysis, open up the opportunity for agricultural producers to improve the quality of decisions made and timely, more efficient methods of farming. The developed database templates are presented, they which fully take into account the features of the collected and analyzed information in the interests of agricultural producers and industry experts. The task was set in the work to create a flexible structure that can be quickly supplemented with new relevant information. A test filling of the developed templates with primary information to check the performance of the created database structure was carried out. Often statistics is undertaken not for the purpose for obtaining objective information, but for some kind of "political" or market manipulation. Additionally, there is a problem of "discontinuity" of data collected during the period of another campaigns, which after a while they’re gone. Using standards to ensure interoperability between systems is a key requirement for effective information integration. Taking into account the experience of filling in the creating database as well as the tested possibilities of using, the requirements for the data collection standards of agricultural producers were formulated.