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Developing an assessment system to investigate changes in the structural and functional state of the vegetation in the Gavkhooni international wetland area
Classification of some Iranian Vicia species using SEM image analysis coupled with conventional texture analysis and deep learning
Classification of some Iranian Vicia species using SEM image analysis coupled with conventional texture analysis and deep learning
Classification of some Iranian Vicia species using SEM image analysis coupled with conventional texture analysis and deep learning
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Modeling habitat suitability for Calligonum species using remote sensing and environmental data to support desert reclamation in central Iran
Classification of Some Iranian Vicia Species Using SEM Image Analysis Coupled with Conventional Texture Analysis and Deep Learning
Classification of Some Iranian Vicia Species Using SEM Image Analysis Coupled with Conventional Texture Analysis and Deep Learning
Modeling habitat suitability for Calligonum species using remote sensing and environmental data to support desert reclamation in central Iran
Modeling habitat suitability for Calligonum species using remote sensing and environmental data to support desert reclamation in central Iran
Modeling habitat suitability for Calligonum species using remote sensing and environmental data to support desert reclamation in central Iran
Classification of Some Iranian Vicia Species Using SEM Image Analysis Coupled with Conventional Texture Analysis and Deep Learning