Christopher Kucha

Assistant Professor

University of Georgia

United States

Research Interests

Explore related searches

Professors in United States Professors in Food Science Food Science professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Christopher Kucha is an Assistant Professor at the University of Georgia, USA. His research areas encompass hyperspectral imaging and machine learning applications in food quality and agricultural product assessment. Recent articles authored by him include topics such as the detection of hidden infestations in blueberries, intelligent sorting of pecan products, and the development of a smartphone application for dietary assessment.

Articles (13)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Collaborators (3)

Ebenezer Kwofie

Assistant Professor

McGill University

CANADA

View details

Michael Ngadi

Professor

McGill University

CANADA

View details

Ashfaq A Sial

University of Georgia

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Christopher Kucha

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Detection of spotted wing drosophila hidden infestation in blueberry using hyperspectral imaging and machine learning

Intelligent sorting of pecan shelled products using hyperspectral fingerprints and deep learning

Miniaturized hand-held near-infrared spectroscopy and machine learning for precision monitoring of solid fat content

Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology

Augmented reality for food quality assessment: Bridging the physical and digital worlds

A systematic review of dietary data collection methodologies for diet diversity indicators

Precision variety identification of shelled and in-shell pecans using hyperspectral imaging with machine learning

Design and Development of ‘Diet DQ Tracker’: A Smartphone Application for Augmenting Dietary Assessment

Designing nutrition-sensitive agriculture (NSA) interventions with multi-criteria decision analysis (MCDA): a review

Hyperspectral imaging and chemometrics assessment of intramuscular fat in pork Longissimus thoracic et lumborum primal cut

Improving Intramuscular Fat Assessment in Pork by Synergy Between Spectral and Spatial Features in Hyperspectral Image

Prediction and visualization of fat content in polythene-packed meat using near-infrared hyperspectral imaging and chemometrics

Hyperspectral imaging and chemometrics as a non-invasive tool to discriminate and analyze iodine value of pork fat

Collaborators (3)

Ebenezer Kwofie

Michael Ngadi

Ashfaq A Sial

Make your next move.