Tools for Optimizing Management of a Spatially Variable Organic Field

摘要: Geostatistical tools were used to estimate spatial relations between wheat yield and soil parameters under organic farming field conditions. Thematic maps of each factor created as raster images in R software using kriging. The Geographic Resources Analysis Support System (GRASS) calculated the principal component analysis for yield. correlation arising from PC1 showed high linear (r = 0.75) explained 48.50% data variance. show that durum is strongly affected by parameter variability, thus, average production can be substantially lower than its potential. Soil water content was limiting grain not nitrate other similar studies. use precision agriculture helped reduce level complexity measured grouping several demonstrating applied small fields, reducing costs increasing Consequently, site-specific applications could expected improve without excessively cost farmers enhance environmental economic benefits.