Page 55 - FoodFocusThailand No.237 December 2025

SMART PRODUCTION PRODUCTION
SMART

Smart Technology:

Revolutionizing the Meat Industry

Across the Entire Production Chain

The evaluation of meat quality is considered the core of the meat and poultry industry, as it directly affects
consumer satisfaction and safety, as well as market competitiveness. Today, consumers are increasingly
aware of food quality and safety, and these concerns have become major decision-making factors for them.
Meanwhile, the meat industry is seeking more efficient and faster methods to assess meat quality compared
to traditional approaches.

AI-Driven Quality Control in meat production throughout 1. Quality Control in Smart Farming and Animal Husbandry
the production chain, various smart technologies such as IoT Smart animal farming refers to the application of modern
(Internet of Things), AI (Artificial Intelligence), computer technologies to enhance efficiency and solve the problems in
vision, and blockchain can be applied to obtain real- livestock production, which often arise from uncertainties in
time, accurate, and traceable data. The development of weather conditions, the environment, and economic situations.
AI is expected to play an increasingly significant role in Smart farming focuses on collecting and analyzing in-depth data
evaluating meat yield and quality, including assessments of to enable more precise planning and decision-making. In addition,
color, texture, and microbial load to build precise databases it encompasses the practical application of data, performance
and strengthen confidence in product freshness and safety evaluation through machine learning techniques, monitoring trends
standards. AI-driven quality control in meat production can in smart livestock technologies, as well as identifying current
be categorized into four key stages along the production challenges and future opportunities for improving production
chain, from upstream to downstream, as follows: processes (see Figure 1).

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