Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region)

Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region)

The implementation of the sustainable management of the interaction between agriculture and the environment requires an increasingly deep understanding and numerical description of the soil genesis and properties of soils. One of the areas of application of relevant knowledge is digital irrigated ag...

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Bibliographic Details
Main Authors: Anatoly Zeyliger, Andrey Chinilin, Olga Ermolaeva
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
soil sensor
proximal soil sensing
precision irrigated agriculture
soil moisture mapping
spatial interpolation
apparent electrical conductivity
Online Access:https://www.mdpi.com/1424-8220/22/16/6153

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