Kent D. Rausch

About

Kent D. Rausch is associated with the Center for Digital Agriculture at the University of Illinois. The center focuses on advancing digital and smart agriculture through research, education, and industry collaboration. The center's initiatives include developing AI-driven tools, decision-support systems, and benchmarking frameworks to build trust and transparency in digital agricultural technologies. Rausch's work involves supporting projects that integrate AI, robotics, biotechnology, and data analysis to optimize agricultural practices, improve crop management, and enhance sustainability. The center also offers educational programs such as online master's degrees and professional certificates in digital agriculture, fostering interdisciplinary collaboration between engineering, agriculture, and technology sectors.

Research topics

• Chemistry
• Food science
• Computer Science
• Materials science
• Machine Learning
• Pulp and paper industry
• Artificial Intelligence
• Chromatography
• Statistics
• Mathematics

Selected publications

• Wet Milling: The Basis for Corn Biorefineries

  Elsevier eBooks · 2018-11-23 · 104 citations

  book-chapter1st authorCorresponding
  PublisherDOI

• Optimizing feature selection with gradient boosting machines in PLS regression for predicting moisture and protein in multi-country corn kernels via NIR spectroscopy

  Food Chemistry · 2024-06-12 · 73 citations

  articleOpen access

  Differences in moisture and protein content impact both nutritional value and processing efficiency of corn kernels. Near-infrared (NIR) spectroscopy can be used to estimate kernel composition, but models trained on a few environments may underestimate error rates and bias. We assembled corn samples from diverse international environments and used NIR with chemometrics and partial least squares regression (PLSR) to determine moisture and protein. The potential of five feature selection methods t…

  PublisherDOI

• Improving ethanol yields with deacetylated and two-stage pretreated corn stover and sugarcane bagasse by blending commercial xylose-fermenting and wild type Saccharomyces yeast

  Bioresource Technology · 2019-03-01 · 72 citations

  articleOpen access
  PublisherOA PDFDOI

• Improving technical and economic feasibility of water based anthocyanin recovery from purple corn using staged extraction approach

  Industrial Crops and Products · 2020 · 31 citations

  PublisherDOI

• Ethanol Production from Corn Fiber Separated after Liquefaction in the Dry Grind Process

  Energies · 2018-10-26 · 24 citations

  articleOpen access

  Conversion of corn fiber to ethanol in the dry grind process can increase ethanol yields, improve coproduct quality and contribute to process sustainability. This work investigates the use of two physio-chemical pretreatments on corn fiber and effect of cellulase enzyme dosage to improve ethanol yields. Fiber separated after liquefaction of corn was pretreated using (I) hot water pretreatment (160 °C for 5, 10 or 20 min) and (II) wet disk milling and converted to ethanol. The conversion efficien…

  PublisherOA PDFDOI

Frequent coauthors

• Vijay Singh

  University of Illinois Urbana-Champaign

  107 shared

• M. E. Tumbleson

  University of Illinois System

  97 shared

• David B. Johnston

  Agricultural Research Service

  40 shared

• R.L. Belyea

  University of Missouri

  36 shared

• M. E. Tumbleson

  31 shared

• Bruce S. Dien

  United States Department of Agriculture

  28 shared

• Lawrence A. Johnson

  27 shared

• John D. McKinney

  École Polytechnique Fédérale de Lausanne

  26 shared

Similar researchers at University of Illinois Urbana-Champaign

• Yuanhui Zhangh-75
• Girish Chowdharyh-39