Abstract

ABSTRACT Among the soil nutrients, iron, zinc, and manganese are particularly important in producing plant product quality. The aim of this study was Presenting of Model in Distribution of Nutrients (Iron, Zinc, and Manganese) in Soil and Leaves of Orange Orchard Trees were in the Southwest of Iran, which was done using the Geographic Information System (GIS) in 2020. One hundred and thirty points were determined using Global Positioning System (GPS), and sampling of soil and leaves of orange trees was performed. Elements were measured using an atomic absorption spectrophotometer. The location of sampling points was simulated using R software. Interpolation was performed using simple kriging and kernel methods. The accuracy of the interpolation was also assessed using the baseline variance method. Finally, the simulated values in the model were implemented in the GIS software environment. The results showed that the interpolation accuracy was optimal for modeling iron and zinc elements in the soil samples. Correlation analysis showed a significant correlation between the amounts of elements in the soil and the leaves of the orange trees (p < .05). The strongest positive correlation is found for the iron values. The research results show the optimal efficiency of geostatistical methods in managing agricultural lands and orchards.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call