Predicting soil compaction from soil electrical conductivity based on scanning methods. A review | Predicting soil compaction from soil electrical conductivity based on scanning methods. A review

English. Soil compaction is a crucial agricultural issue impacting plant growth, water infiltration, and soil health. Because of its sensitivity to soil variables such as texture, moisture content, and salinity, soil electrical conductivity (ECa) has emerged as a promising indirect predictor of soil compaction. This review summarizes selected studies on the relationship between soil compaction and apparent electrical conductivity and examines various prediction approaches. It also considers the potential applications and limitations of using ECa to estimate soil compaction, including methods based on machine learning. Future advancements in technology, modeling, and data integration will be key to fully realizing the potential of ECa in soil compaction management.

Polish. Soil compaction is a crucial agricultural issue impacting plant growth, water infiltration, and soil health. Because of its sensitivity to soil variables such as texture, moisture content, and salinity, soil electrical conductivity (ECa) has emerged as a promising indirect predictor of soil compaction. This review summarizes selected studies on the relationship between soil compaction and apparent electrical conductivity and examines various prediction approaches. It also considers the potential applications and limitations of using ECa to estimate soil compaction, including methods based on machine learning. Future advancements in technology, modeling, and data integration will be key to fully realizing the potential of ECa in soil compaction management.