• DocumentCode
    1931371
  • Title

    Structural and Fractal Dimensions are Reliable Determinants of Grain Yield in Soybean

  • Author

    Jaradat, A.A. ; Surek, D. ; Archer, D.W.

  • Author_Institution
    United States Dept. of Agric., Agric. Res. Service, Morris, IL
  • fYear
    2006
  • fDate
    13-17 Nov. 2006
  • Firstpage
    153
  • Lastpage
    158
  • Abstract
    Soybean [Glycin max (L.) Merr.] plants grown under five management strategies differed significantly in their geometric structures, and were classified with 75 to 100% correct classification, based on differences in their fractal dimension (Do), midday differential canopy temperature (dT), and canopy light penetration [Log(UIo)]. Single soybean plants grown under a conventional system using moldboard tillage developed complex geometric structures, with significantly larger Do (1.477) values and grain yield (11.2 g per plant) as compared to plants grown under an organic system with strip tillage (Do =1.358, and grain yield = 2.32 g per plant). Across management strategies, Do of single plants was a function of stem perimeter, circularity, and volume, and plant dry weight; whereas grain yield m was a function of Do, plant dry weight and volume, and stem circularity. Knowledge of how plants respond to single and multiple management strategies will help agronomists develop better predictive models and will help farmers refine management practices to optimize yield.
  • Keywords
    agricultural products; farming; fractals; Glycin max (L.) Merr; canopy light penetration; differential canopy temperature; fractal dimensions; grain yield; management strategy; moldboard tillage; soybean plants; strip tillage; Artificial neural networks; Crops; Fractals; Image analysis; Knowledge management; Predictive models; Soil; Strips; Temperature; US Department of Agriculture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plant Growth Modeling and Applications, 2006. PMA '06. Second International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-2851-9
  • Type

    conf

  • DOI
    10.1109/PMA.2006.19
  • Filename
    4548362