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Near-infrared reflectance spectroscopy (NIRS) has been widely used in precision agriculture to quantitatively assess properties of many agricultural objects. The accuracy of NIRS depends largely on an adequate data analysis technique to preprocess raw spectroscopic data. A method for incorporating wavelet analysis as a preprocessing tool into NIRS was(More)
In the United States, petroleum extraction, refinement, and transportation present countless opportunities for spillage mishaps. A method for rapid field appraisal and mapping of petroleum hydrocarbon-contaminated soils for environmental cleanup purposes would be useful. Visible near-infrared (VisNIR, 350-2500 nm) diffuse reflectance spectroscopy (DRS) is a(More)
Automated collection of large scale plant phenotype datasets using high throughput imaging systems has the potential to alleviate current bottlenecks in data-driven plant breeding and crop improvement. In this study, we demonstrate the characterization of temporal dynamics of plant growth and water use, and leaf water content of two maize genotypes under(More)
Visible near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) is a rapid, non-destructive method for sensing the presence and amount of total petroleum hydrocarbon (TPH) contamination in soil. This study demonstrates the feasibility of VisNIR DRS to be used in the field to proximally sense and then map the areal extent of TPH contamination in soil.(More)
Fifty-five compost samples were collected and scanned as received by visible and near-IR (VisNIR, 350-2500 nm) diffuse reflectance spectroscopy. The raw reflectance and first-derivative spectra were used to predict log(10)-transformed organic matter (OM) using partial least squares (PLS) regression, penalized spline regression (PSR), and boosted regression(More)
a Biological and Agricultural Engineering Department, MS 2117, Texas A&M University, College Station, TX 77843-2117, USA b Soil and Crop Sciences Department, Texas A&M University, 370 Olsen Boulevard, College Station, TX 77843-2474, USA c Soil and Water Science Department, University of Florida Gainesville, 2169 McCarty Hall, Gainesville, FL 32611-0290, USA(More)
http://dx.doi.org/10.1016/j.compag.2016.08.021 0168-1699/ 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ⇑ Corresponding author at: Department of Biological Systems Engineering, 209 Chase Hall, East Campus, University of Nebraska-Lincoln, Lincoln,(More)
A system including wireless-communication and GPS technologies was designed, constructed and field tested to enable site-specific crop management in cotton production in the form of fiber-quality mapping. The system is comprised of three functional sub-systems associated with the three machines typically used in cotton harvesting: harvester, boll buggy and(More)