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Adhikari, K

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Authors

Adhikari, K

Smith, D.R

Hajda, C

Owens, P.R

Nze Memiaghe, J.D

Adhikari, K

Smith, D.R

Messiga, A

Flynn, K

Topics

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Type

Poster

Year

2022

2026

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Filter results2 paper(s) found.
1. Mapping Soil Health and Grain Quality Variations Across a Corn Field in Texas Soil health is a key property of soils influencing grain yield and quality. Within-field mapping of soil health index and grain quality can help farmers and managers to adjust site-specific farm management decisions for economic benefits. A study was conducted to map within-field soil health and grain protein and oil content variations using apparent electrical conductivity (ECa) and terrain attributes as their predictors. Two hundred and two topsoil samples were analyzed to determine soil health... K. Adhikari, D.R. Smith, C. Hajda, P.R. Owens Download paper
2. Using VIS-NIR spectroscopy to predict Water-Extractable Soil Phosphorus content in Texas Vertisols Phosphorus (P) is an essential nutrient for plant growth. However, excessive P application can result in P accumulation in agricultural soils, increasing the risk of P losses to water sources. Water-extractable P (Pw) data are essential for assessing the risk of environmental P losses. Investigating field-scale variability of Pw using visible–near infrared spectroscopy (VIS–NIR) remains limited. This study aimed to develop an empirical relationship between Pw, soil chemical...

Filter results2 paper(s) found.

1. Mapping Soil Health and Grain Quality Variations Across a Corn Field in Texas

Soil health is a key property of soils influencing grain yield and quality. Within-field mapping of soil health index and grain quality can help farmers and managers to adjust site-specific farm management decisions for economic benefits. A study was conducted to map within-field soil health and grain protein and oil content variations using apparent electrical conductivity (ECa) and terrain attributes as their predictors. Two hundred and two topsoil samples were analyzed to determine soil health... K. Adhikari, D.R. Smith, C. Hajda, P.R. Owens

Download paper

2. Using VIS-NIR spectroscopy to predict Water-Extractable Soil Phosphorus content in Texas Vertisols

Phosphorus (P) is an essential nutrient for plant growth. However, excessive P application can result in P accumulation in agricultural soils, increasing the risk of P losses to water sources. Water-extractable P (Pw) data are essential for assessing the risk of environmental P losses. Investigating field-scale variability of Pw using visible–near infrared spectroscopy (VIS–NIR) remains limited. This study aimed to develop an empirical relationship between Pw, soil chemical...