Data Analytics in Agriculture
The main aim of this paper is to analyze the given soil and its corresponding properties which can be used to determine the soil fertility which is essential for agricultural purposes.
Abstract
Big data analytics is the process of collecting, organizing and analysing large sets of data to discover patterns and other useful information. Big Data is usually defined by 3V's. They are Volume, Variety and Velocity. The main aim of this paper is to analyze the given soil and its corresponding properties. This information can be used to determine the soil fertility which is essential for agricultural purposes. The dataset contains details about various soil types of the world and its composition. This dataset is the World Harmonized Soil Database and it is taken from FAO. In this project there are two analyses. First analysis is to determine the draining capacity of the soil based on the various levels of sand, silt, clay and gravel given in the dataset. The second analysis is to take the organic carbon content and pH level values from the dataset and determine which crop can be cultivated from the given soil sample.