Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review
Open Access
- 21 August 2023
- journal article
- review article
- Published by Wiley in Comprehensive Reviews in Food Science and Food Safety
- Vol. 22 (6) , 4378-4403
Abstract
The egg is considered one of the best sources of dietary protein, and has an important role in human growth and development. With the increase in the world's population, per capita egg consumption is also increasing. Ground‐breaking technological developments have led to numerous inventions like the Internet of Things (IoT), various optical sensors, robotics, artificial intelligence (AI), big data, and cloud computing, transforming the conventional industry into a smart and sustainable egg industry, also known as Egg Industry 4.0 (EI 4.0). The EI 4.0 concept has the potential to improve automation, enhance biosecurity, promote the safeguarding of animal welfare, increase intelligent grading and quality inspection, and increase efficiency. For a sustainable Industry 4.0 transformation, it is important to analyze available technologies, the latest research, existing limitations, and prospects. This review examines the existing non‐destructive optical sensing technologies for the egg industry. It provides information and insights on the different components of EI 4.0, including emerging EI 4.0 technologies for egg production, quality inspection, and grading. Furthermore, drawbacks of current EI 4.0 technologies, potential workarounds, and future trends were critically analyzed. This review can help policymakers, industrialists, and academicians to better understand the integration of non‐destructive technologies and automation. This integration has the potential to increase productivity, improve quality control, and optimize resource management toward sustainable development of the egg industry.Keywords
Funding Information
- National Institute of Food and Agriculture (#2023‐67015‐39154)
This publication has 171 references indexed in Scilit:
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A ReviewCritical Reviews in Food Science and Nutrition, 2012
- Line-scan hyperspectral imaging system for real-time inspection of poultry carcasses with fecal material and ingestaComputers and Electronics in Agriculture, 2011
- Melamine detection by mid- and near-infrared (MIR/NIR) spectroscopy: A quick and sensitive method for dairy products analysis including liquid milk, infant formula, and milk powderTalanta, 2011
- Freshness measurement of eggs using near infrared (NIR) spectroscopy and multivariate data analysisInnovative Food Science & Emerging Technologies, 2011
- Fatty acid composition of certified organic, conventional and omega-3 eggsFood Chemistry, 2009
- Non-destructive freshness assessment of shell eggs using FT-NIR spectroscopyJournal of Food Engineering, 2008
- Egg Embryo Development Detection with Hyperspectral ImagingInternational Journal of Poultry Science, 2006
- Visible transmission spectroscopy for the assessment of egg freshnessJournal of the Science of Food and Agriculture, 2006
- Comparing Infrared Spectroscopy and Egg Size Measurements for predicting Eggshell QualityBiosystems Engineering, 2004
- Imaging Spectrometry for Earth Remote SensingScience, 1985