Page 30 - FoodFocusThailand No.219 June 2024

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Benefits of Implementing AI Systems in the Food From the benefits of AI technology in poultry processing
Industry as mentioned above, examples of automated machinery and
1. Enhancing Safety and Efficiency in Production AI systems are provided as guidelines to increase production
Processes: AI technology is utilized to detect abnormalities capacity in poultry processing plants, such as:
in food production, processing, and distribution processes to - Automatic Bone Separation Machine: Utilizing sensor
ensure products meet safety standards. Additionally, applying systems combined with blades to separate bones from chicken
AI systems in automated food production and processing meat, thereby increasing speed and accuracy in production
processes enhances efficiency and reduces labor costs. and reducing product losses.
2. Improving Supply Chain Efficiency: Big data analysis - Automated Meat Cutting Machine: Using computer-
enables businesses to extract deep insights for market demand controlled systems to control blades for cutting chicken meat
prediction, including consumer behaviors and preferences. into various shapes and sizes as required, ensuring product
This allows food manufacturers to develop products and uniformity.
marketing strategies aligned with consumer needs, thus - Automatic Packaging Machine: Incorporating conveyor
reducing losses from overproduction. systems and robotics to package processed chicken into trays
3. Increasing Agricultural Productivity: AI systems and or other packaging automatically, increasing packaging speed,
big data can be leveraged to enhance agricultural productivity reducing labor, and enhancing hygiene in production.
by reducing water and fertilizer usage and predicting weather - Quality Inspection System with Imaging: Employing
conditions. This leads to the development of sustainable cameras and AI algorithms to identify and segregate defective
agricultural and food systems. or foreign objects that are potentially hazardous.
- Predictive Maintenance System: Utilizing sensors and
Limitations of AI Technology in the Food Industry machine usage history data to analyze equipment readiness,
Despite the benefits of AI and big data analytics in the food enabling producers to anticipate and schedule maintenance,
industry, there are several challenges and limitations that users reducing downtime, and improving machinery efficiency.
must consider: - Production Efficiency Enhancement System:
1. Data Quality and Integration: Due to the abundance AI algorithms can record production data in real-time and identify
of documents and records in food production facilities following problematic or delayed production areas, allowing producers
daily operational standards, collecting and processing data to pinpoint process improvements more effectively.
accurately poses a significant challenge. Standards and safety in the production process are
2. Cybersecurity: Cyberattacks on food production paramount concerns for food producers. Elevating production
facilities can have significant impacts on food safety and the quality using AI-driven and automated systems is a promising
economy. Therefore, food producers should implement option to mitigate contamination risks, reduce labor, increase
stringent cybersecurity measures. production efficiency, and create market opportunities for
3. Regulatory Framework: Regulatory frameworks for AI businesses. However, every opportunity comes with its
technology and big data in the food industry are still under challenges, be it in terms of investment return or even
development and require constant clarification from cybersecurity. Therefore, entrepreneurs should carefully
stakeholders. consider the suitability and cost-effectiveness of integrating AI
4. Public Acceptance: The general public may have technology into automated production processes before
concerns about the use of AI and big data in the food industry. investing.
Therefore, businesses need to build trust to gain public
acceptance.
Case Study: Application Guidelines of AI Systems
in Poultry Processing Plants More Information Service Info C001
Automated production and Artificial Intelligence (AI) systems
are revolutionizing poultry processing by integrating AI เอกสารอ้างอิง / References
technology with automated machinery to enhance processing - สุุวััฒน์์ เณรโต, สุุขุุม โฆษิิตชััยมงคล, มน์ตรี พิิพิัฒน์์ไพิบููลย์, จััน์ทิิมา ลาภสุ่งผล,
efficiency and reduce production losses. Automated and AI พิรพิิมล เกษิมสุุขุไพิศาล, 2556, “การปรับูปรุงผังโรงงาน์เพิ่�อเพิิ�มประสุิทิธิิภาพิ
systems play a vital role in increasing the production capacity การผลิตเคร่�องใน์ไก่”, การประชัุมวัิชัาการขุ่ายงาน์วัิศวักรรมอุตสุาหการ
of poultry processing plants, including: ประจัำาปี พิ.ศ. 2556 16-18 ตุลาคม 2556, พิัทิยา ชัลบูุรี http://www.dms.
1. Automated Production Line Systems: Automated eng.su.ac.th/filebox/FileData/POM031.pdf
production processes ensure continuous production by - W. Lawilo, A. Chaikaew, E. Boonchieng and S. Osiriphun, “Database
integrating AI and automated systems into various stages in System Development for Food Safety Management of UHT Milk at
the plant, such as deboning, cutting, and packaging, to reduce Chiangmai Fresh Milk Factory Using Blockchain Technology,” 2023
errors caused by human intervention and increase the 27th International Computer Science and Engineering Conference
production rate of processed poultry. (ICSEC), Samui Island, Thailand, 2023, pp. 477-480, doi: 10.1109/
2. Quality Control and Inspection: Utilizing AI systems ICSEC59635.2023.10329660.
for quality control and inspection helps identify and rectify - Ding H, Tian J, Yu W, Wilson DI, Young BR, Cui X, Xin X, Wang Z, Li
various issues that may arise during processing, ensuring that W. The Application of Artificial Intelligence and Big Data in the Food
the final products meet standards. For instance, using cameras Industry. Foods. 2023 Dec 18;12(24):4511. doi: 10.3390/
and sensors to detect abnormalities and defects in the final
products. foods12244511. PMID: 38137314; PMCID: PMC10742996. https://
3. Data Analysis and Predictive Maintenance: www.ncbi.nlm.nih.gov/pmc/articles/PMC10742996/
Implementing data analysis and predictive maintenance - Mavani, N.R., Ali, J.M., Othman, S. et al. Application of Artificial
techniques with AI systems helps anticipate potential issues Intelligence in Food Industry—a Guideline. Food Eng Rev 14, 134–175
in advance. For example, using sensors and software systems (2022). https://doi.org/10.1007/s12393-021-09290-z. https://link.
to gather and analyze data for overall machinery efficiency springer.com/article/10.1007/s12393-021-09290-z
improvement. - ขุ่าวัเด่่น์ประจัำาสุัปด่าห์จัากสุาธิารณประชัาชัน์จัีน์ วััน์ทิี� 4-10 กัน์ยายน์ 2566
โด่ยสุำาน์ักงาน์สุ่งเสุริมการค้าใน์ต่างประเทิศ ณ น์ครเฉิิงตู
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