Page 57 - FoodFocusThailand No.237 December 2025

SMART PRODUCTION

often face challenges in detecting low levels of risks to consumers but also improves production efficiency and
contamination within meat packaging. In addition, supply chain management. Such advancements represent a
the use of various chemical or gas sensors, which crucial approach to driving the sustainable development of the
are highly sensitive and sophisticated devices, tends meat industry in the future.
to be more suitable for use in laboratory-based
food quality analysis rather than for commercial
applications, such as in supermarkets or retail outlets.
Nevertheless, certain types of sensors particularly gas More Information Service Info C009
sensors and fluorescent sensors have demonstrated
outstanding potential due to their high sensitivity, rapid
response, and ease of integration with food packaging.
These characteristics make them highly promising เอกสารอ้างอิง / References
candidates for the future development of intelligent การปฏิิบััติิทางสุุขลัักษณะท่�ดี่สุำาหรับัโรงฆ่่าสุัติว์์ (มกษ. 9004-2567)
packaging systems. กรมปศุุสุัติว์์. คู่่่มือการจััดีการแลัะคู่ว์บัคูุ่มคูุ่ณภาพการผลัิติเนื้ื�อสุัติว์์ติามหลััก
• Smart Cold Chain Logistics GMP แลัะ HACCP.
- IoT sensors and RFID (Radio Frequency Bello, R. W., Mohamed, A., & Talib, A. 2022. Smart animal husbandry: A
Identification Tags) are used to monitor and record review of its data, applications, techniques, challenges and opportu
temperature and humidity data of products throughout nities. Applications, Techniques, Challenges and Opportunities (May
transportation. Temperature sensors are installed 8, 2022).
Hernandez-Cazares, A. S., Aristoy, M. C., & Toldra, F. 2010. Hypoxan
at critical points on animal carcasses and inside thine-based enzymatic sensor for determination of pork meat fresh
refrigerated chambers to transmit real-time data to ness. Food chemistry, 123(3), 949-954.
the control system. The system can immediately issue Hwang, Y. H., Samad, A., Muazzam, A., Alam, A. M. M., & Joo, S. T.
alerts when any irregularities are detected. 2025. A Comprehensive Review of AI-Driven Approaches to Meat
Quality and Safety. Food Science of Animal Resources. 45(4):998-1013
4. Data Management and Traceability Mohebi E, Marquez L. 2015. Intelligent packaging in meat industry: An
Data management and traceability systems overview of existing solutions. J Food Sci Technol. 52(7):3947-64.
are essential for the meat production industry, as
they enable the tracking and documentation of the
movement of meat products and all components
used in production throughout the entire supply
chain. These systems serve as critical tools in cases
of contamination or hygiene issues, allowing for
rapid identification of the source of the problem and
efficient product recalls from the market. An effective
traceability system requires systematic data collection
and management at every stage of production. It
must also include key components that work together
seamlessly to ensure unified operations, as below.
• Centralized Data Management
- Collecting all data from farms, slaughterhouses,
and transportation processes into a centralized
database for systematic analysis and processing.
• Blockchain Technology
- Utilizing blockchain to record quality and safety
data throughout the supply chain, ensuring traceability
and enhancing the reliability of information.
• Predictive Analytics
- Applying AI and Machine Learning to analyze
large datasets in order to predict potential risks
such as product spoilage, quality deviations, or
disease outbreaks within the production system.
The application of smart technologies at every
stage of the meat industry—from animal farming,
processing, and transportation to data management
and traceability—through the integration of modern
innovations helps enhance the quality, safety, and
reliability of meat products. This not only reduces

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