Spatial Relationships of Landscape Attributes and Wheat Yield Patterns

摘要: Success of precision farming practices requires knowledge fields such as soil type, topography, nutrients, spatial variability effects, yield patterns and their relationships. A three year (2008-09 to 2010-11) field experimental study was conducted at Postgraduate Agricultural Research Station, University Agriculture, Faisalabad, Pakistan, identify the influencing landscape parameters distribution, having effects on wheat using artificial neural network (ANN) GIS map overlay techniques. total 48 samples were collected from top 30 cm soil, before sowing, center each grid 24 x 67 m in size along with position data Global Positioning System receiver (GARMIN, GPS60). Landscape attributes elevation, %sand, %silt, %clay, electrical conductivity (EC), pH, nitrogen (N) phosphorus included analysis. ANN analysis revealed that urea fertilizer treatments, followed by % clay, EC ranked most parameters. The data, however, normalized remove treatments then used subsequent showed areas lower higher levels N produced yields. Whereas moderate yields, establishing cause-effect These results indicated techniques helpful identifying affecting yield, which can be managed under practices.