Survey and implementation on classification algorithms with approach on the environment

  • Authors

    • U Vignesh
    • Sivakuma .
    • N Venkata Ramana
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14205
  • Prediction, Classification, Agricultural mining, Fertility.

  • Abstract

    Information mining includes the orderly examination of huge information related aspects and extraction of data in agrarian soil data’s is energizing and cutting edge inquire about zone. The manufacturing process of an agriculture land depends on the regarded soil quality whether its production good or bad. Accomplishing with involvement in reviewing necessary stages of soil ripeness, is of most extreme significance on the off chance that agrarian arrive is to stay able of feeding trim generation. In this investigate, classification technique for building a prescient demonstrate of soil richness discussed in detail. This proposed paper focuses on the different available algorithms for classification and how those algorithms perform on the prediction for better fertility in the agriculture field with regards to environmental engineering aspects to satisfy their basic needs.

     

  • References

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  • How to Cite

    Vignesh, U., ., S., & Venkata Ramana, N. (2018). Survey and implementation on classification algorithms with approach on the environment. International Journal of Engineering & Technology, 7(2.33), 438-440. https://doi.org/10.14419/ijet.v7i2.33.14205

    Received date: 2018-06-17

    Accepted date: 2018-06-17

    Published date: 2018-06-08