Prediction of Soil Water Content and Electrical Conductivity Using Random Forest Methods with UAV Multispectral and Ground-Coupled Geophysical Data

Prediction of Soil Water Content and Electrical Conductivity Using Random Forest Methods with UAV Multispectral and Ground-Coupled Geophysical Data

The volumetric water content (VWC) of soil is a critical parameter in agriculture, as VWC strongly influences crop yield, provides nutrients to plants, and maintains the microbes that are needed for the biological health of the soil. Measuring VWC is difficult, as it is spatially and temporally hete...

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Bibliographic Details
Main Authors: Yunyi Guan, Katherine Grote, Joel Schott, Kelsi Leverett
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle (UAV)
multispectral
vegetation indices (VIs)
volumetric water content (VWC)
electrical conductivity (EC)
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/4/1023

Internet

https://www.mdpi.com/2072-4292/14/4/1023

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