Siamese fighting fish (Betta splendens) is an ornamental fish that is the first exported economically valuable fish in the country, but there is a limitation to increase the production of betta fish due to climate variability and the shortage of Thai workers. This research aims to develop 2 systems: a betta fish fry nursery system and a market-sized betta fish rearing system by using automated technology to precisely control the water quality in the system and reduce labor costs. Using precise automation consists of two systems: a minimal-waste system, which repurposes some of the waste generated from farming, and a zero-waste system, which treats and recycles all wastewater from farming. These systems aim to address issues related to water quality, animal welfare, and labor requirements in Betta fish farming. Experimental results show that these systems improve Betta fish survival rates by 10-15% compared to traditional methods. When considering net returns, the zero- waste system provides the highest profitability.
ในการเพาะเลี้ยงปลากัดประกอบด้วย ระบบอนุบาลลูกปลากัด เป็นการเลี้ยงลูกปลากัดในบ่อปูนซีเมนต์ขนาดเส้นผ่านศูนย์กลาง 60-80 เซนติเมตร มีการเพิ่มระดับน้ำแทนการเปลี่ยนถ่ายน้ำสัปดาห์ละ 5-10 เซนติเมตรจากระดับน้ำเดิม และการเลี้ยงปลาขนาดตลาด เป็นการเลี้ยงปลากัดในขวดแบนเรียงต่อกันจำนวนมากบนพื้นคอนกรีต มีการให้อาหารหรือเปลี่ยนถ่ายน้ำโดยใช้แรงงานคน 1 คนต่อการเลี้ยงปลากัด 10,000 – 40,000 ตัว ดังนั้นระบบอนุบาลและการเลี้ยงปลากัดขนาดตลาดแบบพัฒนาใหม่โดยใช้เทคโนโลยีในการควบคุมคุณภาพน้ำ การให้อาหารและการเปลี่ยนถ่ายน้ำด้วยระบบอัตโนมัติ จะช่วยแก้ปัญหาอัตราการตายของปลา การใช้แรงงาน และยังสามารถเพิ่มอัตราการรอดของลูกปลากัดได้อีกด้วย
คณะเทคโนโลยีสารสนเทศ
Cancer is one of the major health issues in Thailand, particularly as the country enters an aging society. The risk of chronic diseases among the elderly often results in limitations in treatment, making it difficult for most patients to achieve a complete recovery. This necessitates continuous care and the provision of accurate information and guidance about cancer. However, current health record systems for patients lack effective interconnectivity, which hinders data analysis and the development of patient care models. Additionally, incorrect information about cancer spread across social media can lead to misunderstandings among elderly patients. To address these issues, researchers have developed a chatbot system that utilizes Natural Language Processing (NLP) technology to understand human language and accurately respond to questions about elderly cancer patient care. The chatbot provides reliable and up-to-date information based on medical knowledge sourced from a database reviewed by healthcare professionals. Furthermore, a web application has been developed to record and analyze patient assessments according to medical standards, enabling healthcare providers to plan and develop appropriate treatment approaches in a better way. This system also facilitates data sharing and connectivity across hospital systems, allowing information to be used to enhance the precision and modernity of treatment approaches. In addition, the chatbot acts as an assistant, providing information and guidance to patients, reducing the workload of healthcare staff in answering questions and encouraging patients to take a more active role in managing their own health.
คณะศิลปศาสตร์
"Niyom Thai" represents health-centric footwear adorned with traditional Thai patterns, embodying an innovative approach to sustainable development tailored to the current needs of local communities. These shoes utilize natural materials to mitigate fatigue and integrate safety technologies, including location tracking via a mobile application and heart rate monitoring. This addresses the aspects of convenience and well-being in both daily life and travel
วิทยาเขตชุมพรเขตรอุดมศักดิ์
This project aims to design and develop a propulsion system for agricultural equipment using RFID technology and evaluate its movement performance on different surfaces, including concrete and grass. The experiment focuses on examining the tag detection range under transmission power levels of 20 dBm, 23 dBm, and 26 dBm, as well as the impact of antenna angles on detection efficiency. Additionally, the system was tested in three movement scenarios: straight path, left turn, and right turn, at distances of 2 meters, 4 meters, and 6 meters. The results indicate that the system achieved the highest average speed of 0.4736 m/s and an average turning angle of 91.6° when moving in a straight path on a concrete surface at a distance of 4 meters. On a grass surface at the same distance, the average speed was 0.4483 m/s, with an average turning angle of 91.1°. For left and right turns, the movement on the concrete surface generally exhibited a higher average speed than on grass, particularly at a distance of 4 meters, where differences in turning angles were observed. This study provides insights into the factors affecting the movement of agricultural mowing equipment and serves as a foundation for enhancing the efficiency of propulsion systems in future developments.