Page 56 - FoodFocusThailand No.237 December 2025

SMART PRODUCTION

• Smart Animal Welfare chain, with the primary goal of preventing contamination
- Use of IoT sensors and smart cameras (Smart Eyes / by pathogenic microorganisms and chemical residues, as
Computer Vision): for real-time monitoring of animal behavior, outlined below.
health, water, and feed intake. • Smart Carcass and Meat Quality Evaluation and Cutting
- Environmental control in livestock housing (including - Use of smart cameras or 3D imaging with AI technology
temperature, humidity, and ventilation): automation systems to detect and assess meat quality parameters such as color,
and AI technology are used to ensure optimal living conditions backfat thickness, and bruising, as well as using robotic
and reduce animal stress, which directly influences meat trimming systems to achieve high precision and minimize
quality. carcass loss during cutting.
- Smart assessment of animal growth and weight: - Use of Dual-Energy X-ray technology to inspect
enables weight estimation without manual weighing, thereby carcasses, facilitating bone separation and accurate cutting.
minimizing stress and disruptions to animal growth. • Process Monitoring
• Big Data Management - Installation of sensors to monitor various parameters
- Livestock farming requires the collection and analysis during processing and slaughtering such as temperature,
of data such as breed information, feed composition, and humidity, pH values, and other relevant factors.
medication usage to forecast production volume, carcass • Contaminant Detection and Food Safety
quality, and improve meat quality. - Application of AI and computer vision technologies to
• Health and Medication Management inspect for abnormalities, contamination marks, or foreign
- Monitoring of diseases commonly found in each animal objects on the surface of meat products.
species, along with recording of antibiotic usage, is essential - Use of rapid detection tools and sensors to identify
to ensure full traceability throughout the livestock production pathogenic microorganisms or chemical residues quickly.
period. 3. Smart Post-Processing & Logistics
• Intelligent Packaging and Freshness Detection
Traditional packaging systems generally do not provide
information about product quality to consumers or producers
throughout the production and supply chain. Therefore,
modern technologies have been developed to minimize
potential risks such as foodborne illnesses caused by
contaminated products. Furthermore, food quality monitoring
systems play a vital role in reducing food loss throughout
production and distribution. In particular, intelligent
packaging has been introduced to collect data on food
handling and storage conditions, helping to enhance product
quality and better meet consumer satisfaction.
Meat is one of the most perishable food products and
can serve as a source of pathogens that cause severe
gastrointestinal illnesses. Therefore, indicators and sensor
systems have been integrated into intelligent packaging
to provide alerts when meat spoilage occurs. These
technologies rely on chemical or biosensors to monitor
food quality and safety from producers to consumers. This
ภาพที่่� 1 ภาพรวมของการเลี้้�ยงสััตว์อัจฉริยะ has led to the development of various types of sensors
Figure 1 Overview of Smart Animal Farming
such as freshness sensors, microbial contamination
ที่่�มา / Source: Lee et al. (2023) sensors, leakage detectors, carbon dioxide or oxygen
sensors, pH sensors, and temperature fluctuation monitors.
2. Quality Control in Processing and Slaughterhouses Moreover, real-time quality and safety control systems have
(Smart Processing Control) been increasingly adopted, showing great potential for
In an era where consumers place high importance on food the development of next-generation sensors that can be
safety and product traceability, slaughterhouse operations directly integrated into food packaging. Examples include
must transition toward Smart Processing Control—an biosensors, gas sensors, and fluorescent sensors, which
approach that integrates digital technologies and automation represent advanced intelligent packaging technologies.
across all stages of production. This integration enhances These innovations offer rapid, accurate, and reliable
hygiene standards, product quality, and operational efficiency detection, thereby enhancing food safety and increasing
in compliance with international standards such as GMP and confidence among both producers and consumers.
HACCP. In addition, smart systems help control key variables However, the application of these technologies in
at Critical Control Points (CCPs) throughout the production packaging systems remains highly complex. Biosensors

56 FOOD FOCUS THAILAND DEC 2025

25/11/2568 BE 08:08
52-57_Smart Production_������.indd 56 25/11/2568 BE 08:08
52-57_Smart Production_������.indd 56