Agricultural Area Detection Using Data Mining

Authors

  • B. Bharath Kumar
  • Mary Subaja
  • D. Mahalakshmi

Abstract

The data mining concept has become one of the most essential things to process huge amounts of data and get the work done in various fields. Initially, manual computations are done as a part of the data analysis. But, with the advent of computers, the computation and analysis processes have become a bit easier than earlier. Along with the increase in technology, the data to be stored and analyzed has also increased at higher rates. In general, the government officials make a note of the actual area present in a village/town/city/state/country and they?ll be assigned the task of updating this data at regular intervals of time. To complete this task, they generally conduct surveys and make a note of different categories of land that is present in that particular area. After the collection of this data, the data belonging to all the areas present in a particular state are combined to get an overall idea of the land belonging to different categories in that state. In the same way, the data belonging to all states are brought together and analyzed to understand the total categories of land present in that particular country. As we all know that Agriculture is one of the key sectors that is making human life possible to survive on this planet, there comes the need to have the statistics of this agricultural land. It is hard to process this agricultural area data in normal methods. Data Mining stands as the best choice to complete this task. Thus, the time series mining approach is followed for agricultural area detection.

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Published

2019-12-26

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Section

Articles