Mukhiddin Juliev
Biographic Data
| ID | 7565582 |
|---|---|
| NAME | Mukhiddin Juliev |
| GIVEN NAMES | Mukhiddin |
| FAMILY NAME | Juliev |
| SIGNATURE | JULIEV M |
| AFFILIATIONS | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers |
| ORCID | 0000-0002-8582-0352 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring ML ‐Driven Insights on the Impact of Rising Soil Salinity on Sundarbans Mangrove Ecosystems and Ecological Sustainability Through Nature‐Based Solutions
Soil salinity is a growing concern for crop productivity and ecosystem resilience, particularly in coastal regions like the Sundarbans mangrove ecosystem, where salinization has worsened since the 1980s due to climate change and diminished freshwater flow. Nonetheless, previous studies have often relied on limited in situ data or remote sensing, lacking comprehensive integrated approaches. This study aims to fill that gap by utilizing the Harmoni…
Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem
Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVest and machine learning-based empirical models
Enhanced groundwater vulnerability assessment in urban landscapes
Evaluation of the spatiotemporal changes in ecological quality and public health status
Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields
Habitat quality and degradation change analysis for the Sundarbans mangrove forest using invest habitat quality model and machine learning
Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem
Comparative analysis of forest canopy mapping methods for the Sundarban biosphere reserve, West Bengal, India
No prominent works on this page.
Comparative analysis of forest canopy mapping methods for the Sundarban biosphere reserve, West Bengal, India
Habitat quality and degradation change analysis for the Sundarbans mangrove forest using invest habitat quality model and machine learning
Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem
Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem
Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVest and machine learning-based empirical models
Enhanced groundwater vulnerability assessment in urban landscapes
Evaluation of the spatiotemporal changes in ecological quality and public health status
Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields
Exploring ML ‐Driven Insights on the Impact of Rising Soil Salinity on Sundarbans Mangrove Ecosystems and Ecological Sustainability Through Nature‐Based Solutions
Soil salinity is a growing concern for crop productivity and ecosystem resilience, particularly in coastal regions like the Sundarbans mangrove ecosystem, where salinization has worsened since the 1980s due to climate change and diminished freshwater flow. Nonetheless, previous studies have often relied on limited in situ data or remote sensing, lacking comprehensive integrated approaches. This study aims to fill that gap by utilizing the Harmoni…
Ecology (9 works) · Environmental Science (9 works) · Environmental resource management (8 works) · Geography (7 works) · Sustainable development (6 works) · Biology (5 works) · Coastal wetland ecosystem dynamics (5 works) · Ecosystem (5 works) · Environmental planning (4 works) · Mangrove (4 works)