Study on Parasites in Blackchin Tilapia and Value-Added Processing Parasites play a crucial role in affecting fish health and the balance of marine ecosystems. The study of parasites in fish is essential for assessing fish population status and their impact on the ecosystem. This research focuses on a preliminary survey of parasites in Blackchin Tilapia (Sarotherodon melanotheron) found in the waters of Chumphon Province to determine whether this species carries parasitic infections. The findings will provide valuable insights for managing marine resources and developing strategies for processing Blackchin Tilapia into food products to help control its population in the ecosystem. One of the value-added processing approaches for Blackchin Tilapia is the "Nai Hoi Hua Fu" product. This product involves deep-frying the fish to achieve a crispy and fluffy texture before mixing it with mango salad to enhance its flavor and make it more appealing. This processing method not only adds value to the fish but also serves as a practical solution for managing the Blackchin Tilapia population, which may impact the ecosystem. The study results indicate that no parasitic infections were found in either the internal or external organs of the sampled fish, suggesting that the marine environment in the study area is favorable for fish health. However, continuous research is recommended to monitor long-term ecological changes and evaluate the impact of Blackchin Tilapia on ecosystem balance to ensure sustainable resource management.
มีการแพร่ระบาดปลาหมอคางดำ ในพื้นที่จังหวัดชุมพร โดยเฉพาะปากแม่น้ำ ดังนั้น จึงมีความสนใจว่าปลาชนิดนี้แพร่กระจายลงสู่ทะเลหรือไม จึงสำรวจพร้มอศึกาาาการติดเชื้อปรสิต เนื่องจากอยากทราบว่าทำไมถึงแพร่กระจายในระบบนิเวศเร็วมาก และสามารถนำมารับประทานได้หรือไม่
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This work got the idea of bringing the car culture of Thai teenagers to present in a new way through our perspective. Create characters and bring various elements within the culture to combine with what we like. Whether it's stickers, posters and band shirts with acrylic paint techniques.
คณะเทคโนโลยีการเกษตร
การทดลองนี้จึงมีวัตถุประสงค์เพื่อศึกษาผลของน้ำที่ผ่านการฉายพลาสมาในเวลาที่แตกต่างกันต่อคุณภาพการงอกของเมล็ดพันธุ์ข้าวไรซ์เบอรี่ เพื่อเป็นการยกระดับคุณภาพความงอกของเมล็ดพันธุ์ข้าวไรซ์เบอรี่
คณะวิศวกรรมศาสตร์
This cooperative education project aims to enhance the efficiency of Hydrogen Manufacturing Unit 2 (HMU-2) and Pressure Swing Adsorption 3 (PSA-3) by using AVEVA Pro/II process modeling and a Machine Learning model for process simulation. The study found that the AVEVA Pro/II model predicted outcomes with deviations ranging from 0–35%, including a hydrogen flow rate deviation from the PSA unit of 12%, exceeding the company’s acceptable limit of 10%. To address this, a Machine Learning model based on the Random Forest algorithm was developed with hyperparameter tuning. The Machine Learning model demonstrated high accuracy, achieving Mean Squared Errors (MSE) of 8.48 and 0.18 for process and laboratory data, respectively, and R-squared values of 0.98 and 0.88 for the same datasets. It outperformed the AVEVA Pro/II model in predicting all variables and reduced the hydrogen flow rate deviation to 4.75% and 1.35% for production rates of 180 and 220 tons per day, respectively. Optimization using the model provided recommendations for process adjustments, increasing hydrogen production by 7.8 tons per day and generating an additional annual profit of 850,966.23 Baht.