Traditional methods for measuring soil volumetric water content have limitations

The gap

Evidence profile

Sourced from the stated challenges and stated research gap and limitations section of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 7 journals. Those papers have been cited 101 times in total.

Supporting evidence — 8 representative gaps

• Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System (2025) · Agronomy · cited 12× · doi

  The study faced challenges in collecting and integrating high-resolution topographic, soil, and weather data. The paper notes that the models account for approximately one-quarter of the total yield variance, highlighting the need for continued research into drivers of spatial variability within fields. The study had to address issues of highly correlated variables and the potential for data dredging.

  generalstated challenges
  Keywords: study faced challenges collecting integrating high-resolution topographic soil
• Comparative Evaluation of Machine Learning Algorithms for Predicting Soil Wetting Front Dynamics Under Drip Irrigation System (2026) · Hydrology · doi

  Existing empirical models are often restricted to specific soil textures and cannot adequately capture complex nonlinear interactions among soil hydro-physical and chemical properties, irrigation variables, and different soil textures. The need for a machine learning approach to predict wetted width and wetted depth in various soil types.

  generalstated research gapevidence 5/5
  Keywords: existing empirical models often restricted specific soil textures
• Sensitivity analysis of the land surface model with respect to the specification, spatial resolution, and aggregation of soil hydrophysical characteristics in Siberian ecosystems (2026) · Climate Dynamics · cited 1× · doi

  The complexity of soil hydrophysical characteristics and their impact on land surface models. The need for high-resolution soil datasets and physically consistent specification of thermodynamic and hydrophysical soil characteristics. The challenge of aggregating soil hydrophysical coefficients to the model grid while preserving their physical consistency.

  generalstated challengesevidence 5/5
  Keywords: complexity soil hydrophysical characteristics impact land surface models
• NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture (2025) · Sustainability · cited 20× · doi

  The paper identifies the challenge of estimating soil moisture with high accuracy due to spatiotemporal variability and complex interactions among soil properties, vegetation, and atmospheric conditions. The study also highlights the limitation of relying on remote sensing data with limited spatial resolution and the need for large datasets for training LSTM models.

  generalstated research gapevidence 5/5
  Keywords: paper identifies challenge estimating soil moisture high accuracy
• NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture (2025) · Sustainability · cited 20× · doi

  The reliance on remote sensing data, such as ERA5-derived soil moisture estimates, which may have limited spatial resolution, - LSTM models require large datasets for training, making them less feasible for regions with sparse ground observations, - The need for improving bias correction techniques for soil moisture estimation

  generallimitations sectionevidence 5/5
  Keywords: reliance remote sensing data era5-derived soil moisture estimates
• Temporal stability and multi-scale influences of soil water content during non-growing season in a newly reclaimed red soil in Southern China (2026) · Irrigation Science · doi

  The study faced challenges in quantifying the spatiotemporal variability of soil water content due to the complex interactions between soil, water, and climate factors. The application of water-retention agents in the southern red-soil region posed challenges due to the lack of prior research. The study had to overcome challenges in collecting and analyzing data on soil water content and its influencing factors.

  generalstated challengesevidence 5/5
  Keywords: study faced challenges quantifying spatiotemporal variability soil water
• Calibration of Low-Cost Capacitive Soil Moisture Sensors for Irrigation Management Applications (2025) · Sensors · cited 42× · doi

  Sensor-to-sensor variability, particularly at higher soil moisture contents - Temperature fluctuations, soil salinity, heterogeneous soil textures, and varying soil compaction affecting sensor accuracy - Limited cost-effectiveness and reliability of current soil moisture monitoring systems

  generalstated challengesevidence 5/5
  Keywords: sensor-to-sensor variability particularly higher soil moisture contents temperature
• Shallow Subsurface Soil Moisture Estimation in Coal Mining Area Using GPR Signal Features and BP Neural Network (2025) · Water · cited 6× · doi

  Traditional methods for measuring soil volumetric water content have limitations. Single-feature-based methods for SVWC prediction have limitations in accuracy and stability. There is a need for a multi-feature approach to capture the complex relationship between GPR signals and SVWC.

  generalstated research gapevidence 5/5
  Keywords: traditional methods measuring soil volumetric water content have

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