This study demonstrates a framework for assessing the impacts of deforestation on the spatial patterns of soils using DSM techniques, which will facilitate effective land use planning and sustainable forest resource management strategies.
In local and large-scale studies, environmental covariates, including topographic attributes, climate, landscape, and geomorphic processes, show a similar spatial distribution. These variables probably could not accurately reveal the spatial variation of SOC along the landscape in these studies.
In local and large-scale studies, environmental covariates, including topographic attributes, climate, landscape, and geomorphic processes, show a similar spatial distribution. These variables probably could not accurately reveal the spatial variation of SOC along the landscape in these studies.
Soil management would be theoretically better if soil quality within management zones were homogenous. This study offers a framework by using of unsupervised learning to investigate the homogeneity of delineated MZs in terms of soil quality.
Soil management would be theoretically better if soil quality within management zones were homogenous. This study offers a framework by using of unsupervised learning to investigate the homogeneity of delineated MZs in terms of soil quality.
The results of this study strongly support the combined use of phosphate solubilizer fluorescent pseudomonads with P fertilizer as a chemical-biological fertilizer package for improvement of P nutrition and grain yield in agricultural systems, while keeping safe P stocks.
The results of this study strongly support the combined use of phosphate solubilizer fluorescent pseudomonads with P fertilizer as a chemical-biological fertilizer package for improvement of P nutrition and grain yield in agricultural systems, while keeping safe P stocks.
The geostatistical results demonstrated higher contents of the heavy metals in the south of the mine and in the vicinity of the mine tailings. It may be concluded from the results that the heavy metal contents of the area are impacted by anthropogenic and lithogenic factors..
The geostatistical results demonstrated higher contents of the heavy metals in the south of the mine and in the vicinity of the mine tailings. It may be concluded from the results that the heavy metal contents of the area are impacted by anthropogenic and lithogenic factors..
Based on the developed hybrid intelligence models, the ANFIS hybrid can be effective for predicting soil properties. Improved mapping of soil properties with hybrid ANFIS models is desirable for several applications such as precision agricultural, soil preservation and weather, drought and flood forecasting.