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Lead zinc and cadmium uptake by plant species grown on metalliferous mine waste in the semiarid region of central Iran
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Soil chemical characteristics influenced by selected lichen and moss species, a case study from an arid region of Iran
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Complete Chloroplast genome of Mentha aquatica reveals hypervariable regions and resolves phylogenetic position within the genus Mentha
Mechanical properties and durability of roller-compacted concrete incorporating powdered and granulated blast furnace slag in frost regions
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
MEDALUS model
Quantitative mapping and assessment of environmentally sensitive areas to desertification
Some Research Projects
Mohsen Sadeghi
Sobhan Safdarian
پايش غلظت سرب، نيترات و نيتريت در شير خام، مطالعه موردي: دامداري هاي منطقه لنجان (استان اصفهان)Monitoring of lead, nitrate, and nitrite concentrations in the raw milk, a case of study: livestock of the Lenjan region (Isfahan Province)
Amin Karimi