• DocumentCode
    3216917
  • Title

    Hybrid computational method for optimizing isabgol production

  • Author

    Singh, Brajesh Kumar ; Mishra, K.K. ; Punhani, Akash ; Manorama

  • Author_Institution
    Dept. of Comput. Sci. & Eng., R.B.S. Coll., Agra, India
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1568
  • Lastpage
    1571
  • Abstract
    Hybrid computational method was used on the basis of available experimental data and production- nutrient ratios were obtained to suggest best nutrient combinations for getting more profitable production of Isabgol. Nutrient combinations could be computed for the choice of farmer. However nutrient combination N 54.435 + P2O5 12.097 + K2O 4.839 Kgha-1 could be detected as best solution for farmers recommendation.
  • Keywords
    agricultural products; agriculture; fertilisers; profitability; Isabgol production optimization; K2O; N; P2O5; best nutrient combinations; hybrid computational method; production-nutrient ratios; Agricultural engineering; Artificial neural networks; Computer science; Data engineering; Educational institutions; Fertilizers; Genetic algorithms; Genetic mutations; Optimization methods; Optimized production technology; Genetic algorithm; Grain production; back propagation neural network; fertilizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5053-4
  • Type

    conf

  • DOI
    10.1109/NABIC.2009.5393678
  • Filename
    5393678
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3216917