Philip G. Crandall
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Center for Food Safety and Applied Nutrition (2017); Agricultural Research Service (2010); United States Department of Agriculture (2012–2017); University of Illinois Urbana-Champaign (2009); Cornell University (1987); Purdue University West Lafayette (1975); University of Arkansas System (2009–2025); Food Safety and Inspection Service (2011); Peking Union Medical College Hospital (2014); Florida Department of Citrus (1976–1995); University of Florida (1976–2000); Hebei University of Science and Technology (2013); Star Technology and Research (United States) (2012–2015); Yan'an University (2014); JiangSu Armed Police General Hospital (2014); Rwanda Agriculture Board (2015); Southern Plains Agricultural Research Center (2010); Chinese Academy of Agricultural Sciences (2011); Marine Technical College (2013); Statistical Research (United States) (1980); Arkansas Power Electronics International (2012–2016); Chinese People's Armed Police Force (2014); Colorado State University (2011–2012); Mississippi State University (2009)
Faculty Researcher
Food Science
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Philip G. Crandall, Professor in the Department of Food Science at the University of Arkansas at Fayetteville, studies microbial contamination and detection in food systems. His research has focused on Listeria monocytogenes, including its viable but non-culturable states and potential virulence. Crandall also investigates the detection and prevention of foreign materials in food manufacturing, contributing to broader food safety and quality assurance practices.
His work extends to understanding consumer perceptions of food products, such as broken rice, and its potential role in addressing food insecurity. Crandall has also reviewed topics related to food manufacturing environments, palatability enhancers in pet food, and the psychological influences on food perception and behavior. He leads a research group and maintains an active lab website, engaging in collaborative scholarship with colleagues at the University of Arkansas, including Corliss A. O’Bryan, Wan Shou, Pouya Sohrabipour, and Chaitanya Pallerla.
Crandall's scholarly output is substantial, with 251 total publications and over 6,900 citations, reflected in his h-index of 40. He is recognized as a highly cited researcher.
Metrics
- h-index: 40
- Publications: 251
- Citations: 7,017
Selected Publications
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Integrating Worker and Food Safety in Poultry Processing Through Human-Robot Collaboration: A Comprehensive Review (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry (2025)
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Variations in attitudes toward working with robots and concerns about robots replacing jobs among Midwesterners (2025)
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Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
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UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects (2025)
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
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Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers (2023)
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Detection and prevention of foreign material in food: A review (2023)
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Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts (2023)
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Becoming the employer of choice: anticipating and preparing for a graying workforce in industry (2022)
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Uncooked rice consumption: Causes, implications, regulation, and interventions (2022)
Collaboration Network
Top Collaborators
- Detection and prevention of foreign material in food: A review
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- Becoming the employer of choice: anticipating and preparing for a graying workforce in industry
- Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts
Showing 5 of 9 shared publications
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 8 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 6 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Dry Pet Food Flavor Enhancers and Their Impact on Palatability: A Review
- You Eat How You Think: A Review on the Impact of Cognitive Styles on Food Perception and Behavior
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- Consumers' willingness to pay for safer, more environmentally friendly smoke flavored chicken breasts
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- US Consumers’ Perceptions of Raw and Cooked Broken Rice
- A broken market: can increased access to broken rice decrease food insecurity in Haiti?
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry
- Detection and Potential Virulence of Viable but Non-Culturable (VBNC) Listeria monocytogenes: A Review
- Detection and Potential Virulence of Viable but Non-Culturable (VBNC) Listeria monocytogenes: A Review
- Detection and Potential Virulence of Viable but Non-Culturable (VBNC) Listeria monocytogenes: A Review
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