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Pittelkow, C
Paul, P
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Authors
Matcham, E
Subburayalu, S
Fulton, J
Hawkins, E
Paul, P
Lindsey, L
Preza-Fontes, G
Nafziger, E
Christianson, L
Pittelkow, C
Topics
State Report
Type
Poster
Oral
Year
2018
2020
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Filter results2 paper(s) found.

1. Grid Soil Sample Interpolation Using Geographicaly Weighted Regression and Random Forest

Soil sampling is useful in agriculture for setting fertilizer application rates. High density soil samples can also be used for variable rate seeding and other precision agriculture applications. Half-acre grid soil samples were collected from 6 soybean fields, and phosphorous (P), potassium (K), and organic matter (OM) were measured. Each soil parameter was interpolated for each field, with terrain attributes as covariates, using two different methods: geographically weighted regression (GWR)... E. Matcham, S. Subburayalu, J. Fulton, E. Hawkins, P. Paul, L. Lindsey

2. Relationship of in-season soil nitrogen concentration with corn yield and potential nitrogen losses

Modeled or measured soil mineral N (SMN) levels during the corn growing season have been used to set sidedress N rates, but there has been little research linking SMN levels at different growth stages to yield to help guide this process. The degree to which SMN level influences the risk of N losses is also not known. Data from 32 site-years of field experiments in Illinois (2015–2018) that included 12 combinations of N fertilizer rate, timing, and source, were used to evaluate... G. Preza-fontes, E. Nafziger, L. Christianson, C. Pittelkow