Efficient Decision Support System on Agrometeorological Data

  • Abhishek Teli
  • A. Amith
  • K. Bhanu Kaushik
  • K. Gopala Krishna VasanthEmail author
  • B. J. Sowmya
  • S. Seema
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 940)


Decision Support System works on developing a system to counter imbalances and changes in the weather helping in a better yield. Decision support system are trained on parameters essential for plant growth and yield such as temperature, humidity, potential evapotranspiration (PET), rainfall etc. The aim is to analyze the impact of climatic variables on quality of agriculture and crop production. The irregularities in the trends of parameters such as PET aims to infer results which help in determining the favourable agrometeorological conditions for plant growth. Patterns followed by these variables in the past few decades can help us train the decision support system in determining the type of crops suitable for the given soil and the variation in the plant growth by sowing the seed at variable depths.


Agrometeorology Agriculture KNN-K nearest neighbour Decision tree classifier Linear regression Temperature Humidity Potential evapotranspiration Rainfall 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Abhishek Teli
    • 1
  • A. Amith
    • 1
  • K. Bhanu Kaushik
    • 1
  • K. Gopala Krishna Vasanth
    • 1
    Email author
  • B. J. Sowmya
    • 1
  • S. Seema
    • 1
  1. 1.Computer Science and EngineeringRamaiah Institute of TechnologyBangaloreIndia

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