Richard M Cruse
Biographic Data
| ID | 6898008 |
|---|---|
| NAME | Richard M Cruse |
| GIVEN NAMES | Richard M |
| FAMILY NAME | Cruse |
| SIGNATURE | CRUSE R M |
| AFFILIATIONS | Iowa State University |
| ORCID | 0000-0002-8995-3064 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Fifteen years of conservation tillage increases soil aggregate stability by altering the contents and chemical composition of organic carbon fractions in Mollisols
Mollisols contain a high amount of soil organic carbon (SOC) that is highly susceptible to tillage practices. Conservation tillage (CT) could improve soil aggregate stability, but the predominant factor controlling this stability remains debatable. This study reports on a tillage management experiment established in 2004 to explore the influences of tillage practices on the content and chemical composition of labile and recalcitrant OC fractions,…
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine Learning Models
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)’s efficiency and interpretability remains a challenge, especially in complex terrain areas. In this study, a WoE-MLC model was used to solve the above problem, which combines machine learning classification algorithms and the statistical weight of evidence (WoE) model in the Loess Plateau. The three machine l…
Irrigation aquifer depletion
Irrigation aquifer depletion
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine Learning Models
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)’s efficiency and interpretability remains a challenge, especially in complex terrain areas. In this study, a WoE-MLC model was used to solve the above problem, which combines machine learning classification algorithms and the statistical weight of evidence (WoE) model in the Loess Plateau. The three machine l…
Fifteen years of conservation tillage increases soil aggregate stability by altering the contents and chemical composition of organic carbon fractions in Mollisols
Mollisols contain a high amount of soil organic carbon (SOC) that is highly susceptible to tillage practices. Conservation tillage (CT) could improve soil aggregate stability, but the predominant factor controlling this stability remains debatable. This study reports on a tillage management experiment established in 2004 to explore the influences of tillage practices on the content and chemical composition of labile and recalcitrant OC fractions,…
Environmental Science (2 works) · Geography (2 works) · Geology (2 works) · Agriculture (1 work) · Agronomy (1 work) · Algorithm (1 work) · Animal science (1 work) · Aquifer (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work)