TY - JOUR
T1 - Non-destructive optical sensing technologies for advancing the egg industry toward Industry 4.0
T2 - A review
AU - Ahmed, Md Wadud
AU - Hossainy, Sahir Junaid
AU - Khaliduzzaman, Alin
AU - Emmert, Jason Lee
AU - Kamruzzaman, Mohammed
N1 - This work was supported by the USDA National Institute of Food and Agriculture, Award # 2023‐67015‐39154.
PY - 2023/11
Y1 - 2023/11
N2 - 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.
AB - 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.
KW - AI and IoT
KW - Egg Industry 4.0
KW - computer vision
KW - egg grading
KW - machine learning
KW - optical sensing
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U2 - 10.1111/1541-4337.13227
DO - 10.1111/1541-4337.13227
M3 - Review article
C2 - 37602873
AN - SCOPUS:85168604382
SN - 1541-4337
VL - 22
SP - 4378
EP - 4403
JO - Comprehensive Reviews in Food Science and Food Safety
JF - Comprehensive Reviews in Food Science and Food Safety
IS - 6
ER -