Investigation of Sample Numbers Needed to Map Spatial Changes in Soil Moisture Using Random Forests and Z-Score Calibration for Precision Irrigation of Turfgrass

In the USA, agriculture is the largest consumer of freshwater resources, and precision irrigation (PI) can conserve water significantly while maintaining crop yield. Current approaches to soil volumetric water content (VWC) mapping for PI rely on installing a costly soil moisture sensor within each...

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主要な著者:	Ruth Kerry, Eliza Hammari, Ben Ingram, Kirsten Sanders, Neil Hansen, Bryan Hopkins
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-04-01
シリーズ:	Agronomy
主題:	precision irrigation turfgrass soil volumetric water content mapping random forests z-score calibration sample size
オンライン･アクセス:	https://www.mdpi.com/2073-4395/16/8/794
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