The need for calibration of TRE models

The gap

Evidence profile

Sourced from the conclusions and discussion and stated research gap and abstract of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 4 journals. Those papers have been cited 80 times in total.

Supporting evidence — 4 representative gaps

• Advancements and Perspective in the Quantitative Assessment of Soil Salinity Utilizing Remote Sensing and Machine Learning Algorithms: A Review (2024) · Remote Sensing · cited 59× · doi

  However, soil salinity perturbations in crop root zones at greater depths (1–2 m) have not been adequately studied. However, improved ML algorithms such as LGBM, GBRT, and XGBoost, particularly deep learning algorithms, remain underexplored.

  generalconclusions
  Keywords: algorithms soil salinity perturbations crop root zones greater depths adequately studied improved lgbm gbrt xgboost
• Synergistic Regulation of Soil Salinity and Ion Transport in Arid Agroecosystems: A Field Study on Drip Irrigation and Subsurface Drainage in Xinjiang, China (2025) · Water · cited 6× · doi

  Future research should focus on three breakthroughs: (1) developing zonal drainage design algorithms based on spatial variability of soil texture, (2) quantify- ing the contribution of crop root-zone hydraulic enhancements to salinity redistribution, and (3) constructing a multi-scale water and salt transport model coupled with remote sensing inversion data to achieve real-time early warning of salinity risk and dynamic control.

  generaldiscussion
  Keywords: salinity future focus three breakthroughs developing zonal drainage design algorithms based spatial variability soil texture
• Detección de salinidad con técnicas no invasivas en suelos cultivados con plátano Musa acuminata Escuintla, Guatemala (2026) · Revista Estudios Ambientales - Environmental Studies Journal · doi

  The need for calibration of TRE models. The limited accuracy of non-invasive techniques for evaluating soil salinity. The lack of integration of conventional and non-invasive methods for characterizing salinity.

  generalstated research gapevidence 5/5
  Keywords: need calibration tre models limited accuracy non-invasive techniques
• Spatial estimation of large-scale soil salinity using enhanced inverse distance weighting method and identifying its driving factors (2025) · Agricultural Water Management · cited 15× · doi

  Improvements like considering anisotropy and multi-parameter co-optimization have been proposed, while their application in regional soil salinity prediction that owing strong variability has not been investigated.

  generalabstractevidence 4/5
  Keywords: improvements like considering anisotropy multi parameter optimization proposed application regional soil salinity prediction owing strong

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