Factors influencing random forest soil volumetric water content predictions within a turfgrass field

R. Kerry; B. Ingram; K. Sanders; N. Hansen; B. Hopkins

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Factors influencing random forest soil volumetric water content predictions within a turfgrass field

In: Precision agriculture '25

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R. Kerry

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B. Ingram

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K. Sanders

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N. Hansen

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B. Hopkins

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Type:: Chapter

Pages:: 868–875

DOI:: https://doi.org/10.1163/9789004725232_114

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Dar Hadith al Hassania

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Irrigation of turfgrass in semi-arid regions consumes much freshwater and up to 50% of applications are wasted through spatial and temporal mis-applications. More efficient spatial applications are possible with valve-in-head sprinkler heads and soil volumetric water content (VWC) mapping. This study uses random forests and a time series of National Agriculture Imagery Program (NAIP) imagery (1m pixel) to predict VWC in a sports field at several different times. Several grid surveys of VWC are used to evaluate prediction accuracy. Feature importance identifies the most important wavebands and a jack-knife procedure is used to determine the optimal sample size needed to produce accurate VWC maps.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Factors influencing random forest soil volumetric water content predictions within a turfgrass field

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Precision agriculture '25

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