Comparing quasi-3D soil moisture derived from electromagnetic induction with 1D moisture sensors and correlation to barley yield in variable duplex soil

Author:

Shaukat Hira,Flower Ken C.,Leopold Matthias

Funder

University of Western Australia

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Agronomy and Crop Science

Reference93 articles.

1. ABARES, Department of Agriculture, W. and the E., 2019. Effects of drought and climate variability on Australian farms [WWW Document]. URL https://www.awe.gov.au/abares/products/insights/effects-of-drought-and-climate-variability-on-Australian-farms#:~:text=ABARES most recent analysis finds,Fig. 7%2C and Table 1. (accessed 5.9.22).

2. The impact of temperature and shallow hydrologic conditions on the magnitude and spatial pattern consistency of electromagnetic induction measured soil electrical conductivity;Allred;Trans. ASAE,2005

3. The optimal soil water content models based on crop-LAI and hyperspectral data of winter wheat;An;Irrig. Sci.,2021

4. Differentiating soil types using electromagnetic conductivity and crop yield maps;Anderson-Cook;Soil Sci. Soc. Am. J.,2002

5. Electromagnetic-induction and spatial analysis for assessing variability in soil properties as a function of land use in tropical savanna ecosystems;Atwell;SN Appl. Sci.,2019

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