
This study was conducted to develop a prototype cooling cover for transporting raw milk, aiming to provide a solution for maintaining the quality of raw milk during transportation to milk collection centers. The cooling cover is made using Phase Change Material (PCM), produced from water mixed with a gelling agent, in an amount of 5.6 kg, attached around an aluminum milk tank (with a capacity of 25 L). The cover is then covered with a UV-reflective fabric in two types: polyvinyl chloride (PVC) and high-density polyethylene (HDPE). The temperature reduction performance of both types of covers was evaluated by measuring water temperatures at various points along the radial and vertical directions of the milk tank at six points, using type-T thermocouples, under three environmental conditions: a constant temperature of 25 °C, 35 °C, and outdoor ambient temperature (average temperature 35.5 °C) for a minimum duration of 180 min. The experimental results revealed that at 120 min., the water in the tank covered with PCM-PVC and PCM-HDPE covers had temperatures lower than the ambient temperature by 12.6 °C and 12.9 °C, respectively, under a constant ambient temperature of 25 °C, and under a constant ambient temperature of 35 °C lower by 16.7 °C and 16.4 °C, respectively, and outdoor conditions. Since the temperature reduction performance of PCM-PVC and PCM-HDPE covers showed no significant difference, the performance of microbial quality preservation of raw milk was assessed only with PCM-PVC cover in comparison to a non-covered case (control), by measuring coliform and Escherichia coli counts using compact dry plates. Results indicated that after 120 min., milk in the tank covered with PCM-PVC had an average coliform count of 1.6 × 10^4 CFU/ml and E. coli count of 2 × 10^3 CFU/ml, which was lower than the non-covered control with an average coliform count of 1.5 × 10^4 CFU/ml and E. coli count of 1.1 × 10^4 CFU/ml. This study concludes that the temperature reduction achieved by the cooling cover can help inhibit coliform growth to levels below raw milk quality standards, demonstrating the potential of the cooling cover in maintaining the quality and safety of raw milk during transport, ultimately contributing to an improved quality of life for Thai dairy farmers.
โดยทั่วไปการขนส่งน้ำนมดิบจากฟาร์มของเกษตรกรรายย่อยไปยังศูนย์รวบรวมน้ำนมดิบขนส่งโดยใส่ น้ำนมดิบในถังโลหะผลิตจากเหล็กกล้าไร้สนิม (Stainless steel) หรืออะลูมิเนียมที่ไม่มีการควบคุมอุณหภูมิ ส่งผลให้ อุณหภูมิของน้ำนมดิบมีโอกาสเพิ่มสูงขึ้นอย่างต่อเนื่อง ซึ่งส่งเสริมให้เชื้อจุลินทรีย์เจริญได้ดีจนทำให้น้ำนมดิบเสื่อมเสียคุณภาพและเป็นอันตรายต่อผู้บริโภค เนื่องจากอุณหภูมิมีอิทธิพลต่อคุณภาพของน้ำนมดิบอย่างมากโดยเฉพาะคุณภาพด้านจุลินทรีย์ น้ำนมดิบอุดมไปด้วยสารอาหารที่เป็นประโยชน์และมีความเป็นกรด-ด่าง (pH) ประมาณ 6.6 - 6.8 ซึ่งเป็นสภาวะที่เหมาะกับการเจริญเติบโตของเชื้อจุลินทรีย์หลายชนิด การเก็บรักษาน้ำนมดิบที่อุณหภูมิบรรยากาศจึงเป็นการส่งเสริมให้เชื้อจุลินทรีย์สามารถเพิ่มจำนวนได้อย่างรวดเร็วจนเกินเกณฑ์มาตรฐานได้ภายในเวลา 2-5 ชั่วโมง การใช้เครื่องทำความเย็นเป็นวิธีการลดอุณหภูมิน้ำนมดิบที่มีประสิทธิภาพในระยะยาว ซึ่งเครื่องทำความเย็นโดยทั่วไปเป็นระบบทำความเย็นแบบอัดไอซึ่งมีราคาแพง ต้องการระบบส่งไฟฟ้าที่มีความเสถียรและการบำรุงรักษาอย่างถูกต้องสม่ำเสมอ ทำให้เกษตรกรผู้เลี้ยงโคนมรายย่อยที่มีจำนวนโคนมไม่เกิน 20 ตัวไม่มีความจำเป็นที่จะนำระบบทำความเย็นมาใช้เพราะอาจไม่คุ้มค่ากับการลงทุน เมื่อเทียบกับผลผลิตที่เกิดขึ้น (Economy of scale) ด้วยเหตุนี้เกษตรกรเหล่านี้จึงต้องขนส่งน้ำนมดิบหลังการรีดเสร็จให้เร็วที่สุด และต้องไม่เกิน 2 ชั่วโมง เพื่อให้เป็นตามข้อกำหนดมกษ. 6003 - 2553 ไม่เช่นนั้นต้องลดอุณหภูมิน้ำนมดิบให้ต่ำกว่า 4 °C แล้วนำส่งศูนย์รวบรวมน้ำนมดิบภายในเวลา 24ชั่วโมงการศึกษานี้จึงจัดทำขึ้นเพื่อเสนอนวัตกรรมการทำความเย็นที่มีต้นทุนต่ำและใช้งานง่าย นั่นคือ เสื้อคลุมเย็นที่ประกอบขึ้นจากวัสดุเปลี่ยนสถานะ (Phase Change Material, PCM) ที่สามารถหาซื้อได้ทั่วไป คณะผู้วิจัยคาดหวังว่านวัตกรรมนี้จะสามารถช่วยเกษตรกรรายย่อยให้สามารถรักษาคุณภาพน้ำนมดิบระหว่างการขนส่งจากฟาร์มไปยังศูนย์รวบรวมน้ำนมดิบได้โดยสร้างภาระทางการเงินให้กับเกษตรกรน้อยที่สุด

คณะอุตสาหกรรมอาหาร
Plant-based refers to food or products that are primarily made from plants. It can be divided into two categories: one is food that comes entirely from plants and does not include any animal products, and the other is food that contains small amounts of animal products, such as products that contain milk and eggs in limited quantities, which may also be considered part of the definition of plant-based. Plant-based meat products that closely resemble real meat and attract consumers are considered a relatively new innovation. Although tofu, tempeh, and seitan have been around for a long time, recent discoveries have led to the production of plant-based meat products that provide a sensory experience, making it difficult for consumers to distinguish between real meat and plant-based meat. Furthermore, the development of plant-based food products must prioritize quality and safety to maximize consumer benefits. Textured Vegetable Protein (TVP) is a plant-based protein made from soybeans using an extruder. It is used as a primary ingredient in the production of plant-based food products due to several advantages. These include: • High Protein Content: TVP is made from soybeans with the fat extracted, resulting in a high protein content. • Texture: When rehydrated, TVP has a texture that closely resembles meat. • Versatility: TVP has a neutral flavor, allowing it to easily absorb the flavors of various seasonings and sauces. • Cost-Effectiveness: Compared to other protein sources, TVP is relatively inexpensive while providing desirable characteristics. These benefits make TVP an attractive option in the production of plant-based foods. This study focuses on developing TVP into a plant-based crab cake and investigating the shelf life of the product in a tightly sealed container under refrigeration. It also analyzes the hygiene and cleanliness of the production process and how these factors affect the presence or growth of microorganisms that may pose a risk to consumers, referencing the cold food safety standards of Thailand. Finally, recommendations for cleaning operational areas will be provided to establishments as a guideline for developing preliminary food safety procedures in laboratory settings.

คณะเทคโนโลยีการเกษตร
The Public park project : Ancient Sea Park. This's a new park in Aangsila Chonburi make for learn and travel in concept The sea in 65 million years ago.

คณะวิศวกรรมศาสตร์
The integration of intelligent robotic systems into human-centric environments, such as laboratories, hospitals, and educational institutions, has become increasingly important due to the growing demand for accessible and context-aware assistants. However, current solutions often lack scalability—for instance, relying on specialized personnel to repeatedly answer the same questions as administrators for specific departments—and adaptability to dynamic environments that require real-time situational responses. This study introduces a novel framework for an interactive robotic assistant (Beckerle et al. , 2017) designed to assist during laboratory tours and mitigate the challenges posed by limited human resources in providing comprehensive information to visitors. The proposed system operates through multiple modes, including standby mode and recognition mode, to ensure seamless interaction and adaptability in various contexts. In standby mode, the robot signals readiness with a smiling face animation while patrolling predefined paths or conserving energy when stationary. Advanced obstacle detection ensures safe navigation in dynamic environments. Recognition mode activates through gestures or wake words, using advanced computer vision and real-time speech recognition to identify users. Facial recognition further classifies individuals as known or unknown, providing personalized greetings or context-specific guidance to enhance user engagement. The proposed robot and its 3D design are shown in Figure 1. In interactive mode, the system integrates advanced technologies, including advanced speech recognition (ASR Whisper), natural language processing (NLP), and a large language model Ollama 3.2 (LLM Predictor, 2025), to provide a user-friendly, context-aware, and adaptable experience. Motivated by the need to engage students and promote interest in the RAI department, which receives over 1,000 visitors annually, it addresses accessibility gaps where human staff may be unavailable. With wake word detection, face and gesture recognition, and LiDAR-based obstacle detection, the robot ensures seamless communication in English, alongside safe and efficient navigation. The Retrieval-Augmented Generation (RAG) human interaction system communicates with the mobile robot, built on ROS1 Noetic, using the MQTT protocol over Ethernet. It publishes navigation goals to the move_base module in ROS, which autonomously handles navigation and obstacle avoidance. A diagram is explained in Figure 2. The framework includes a robust back-end architecture utilizing a combination of MongoDB for information storage and retrieval and a RAG mechanism (Thüs et al., 2024) to process program curriculum information in the form of PDFs. This ensures that the robot provides accurate and contextually relevant answers to user queries. Furthermore, the inclusion of smiling face animations and text-to-speech (TTS BotNoi) enhanced user engagement metrics were derived through a combination of observational studies and surveys, which highlighted significant improvements in user satisfaction and accessibility. This paper also discusses capability to operate in dynamic environments and human-centric spaces. For example, handling interruptions while navigating during a mission. The modular design allows for easy integration of additional features, such as gesture recognition and hardware upgrades, ensuring long-term scalability. However, limitations such as the need for high initial setup costs and dependency on specific hardware configurations are acknowledged. Future work will focus on enhancing the system’s adaptability to diverse languages, expanding its use cases, and exploring collaborative interactions between multiple robots. In conclusion, the proposed interactive robotic assistant represents a significant step forward in bridging the gap between human needs and technological advancements. By combining cutting-edge AI technologies with practical hardware solutions, this work offers a scalable, efficient, and user-friendly system that enhances accessibility and user engagement in human-centric spaces.