Year 2018, Volume 3, Issue 3
| Year : | 2018 |
| Volume : | 3 |
| Issue : | 3 |
| Authors : | Vitalijs KOMASILOVS, Armands KVIESIS, Aleksejs ZACEPINS, Nikolajs BUMANIS |
| Title : | DEVELOPMENT OF THE DATA WAREHOUSE ARCHITECTURE FOR PROCESSING AND ANALYSIS OF THE RAW PIG PRODUCTION DATA |
| Abstract : | Precision Livestock Farming (PLF) approach requires immense amount of data collection, aggregation and processing, using various hardware and software solutions, and is applied in many farms trying to achieve the most efficient and effective way of production. Hardware and software compatible systems capable of achieving this goal are called Farm Management Information Systems (FMIS), and are a necessity for a complete and successful implementation for Precision Agriculture (PA) branch approaches. However, most of commercially available FMIS do not only focus on crop management, but also have limited availability to small and average sized farms, in terms of price, supported language and specific features. Simpler FMIS, on the other hand, do not have necessary capabilities to fully support PLF. There are currently very small amount of high grade pig farm oriented FMIS, especially for farms with less than a hundred of sows. Therefore, there exists the need for solutions for managing farms with limited number of sows. To help address this need, authors proposed and developed architecture for unified data warehouse (DW), which was scalable and extendable cloud based data storage and processing system with support of individual data analysis. DW has capabilities to data interexchange and/or be integrated in existing FMIS throughout variety of data-in/data-out interfaces, like UIs, unmanned data supplier or consumer systems. The core of the DW is designed to provide data processing flexibility and versatility, whereas data flow within the core is organized between data vaults in a controllable and reliable way. |
| For citation : | Komasilovs, V., Kviesis, A., Zacepins, A., Bumanis, N. (2018). Development of the data warehouse architecture for processing and analysis of the raw pig production data. AGROFOR International Journal, Volume 3. Issue No. 3. pp. 64-71. DOI: 10.7251/AGRENG1803064K |
| Keywords : | Data Warehouse, Information Systems, Pig farm management, Precision livestock farming |
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ISSN 2490-3434 (Printed)
ISSN 2490-3442 (Online)
ISSN 2490-3442 (Online)
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