Data Analysis on milk production: an Information Science perspective
Abstract
Collection and processing of data on agricultural activity, besides its importance, is still far from reaching full potential. Information Science can contribute developing studies and researches about processes and factors involved in the Data Life Cycle fostering expanded democratization of the use of the data, enabling the mediation access to this knowledge. The milk production, with a strong social and economic relevance, can receive contributions in their planning process by analyzing data already available on the Internet. In this study results of analysis on the intersection of data on the number of animals in milking and geographical location of cities are presented, showing a preview of correlation coefficients that can contribute to business strategies and expanding the support and accounting of public policy.Downloads
References
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