Mangosteen peel (Garcinia mangostana Linn.) extract using hot water (MPE) has been shown to have antibacterial potential in freshwater sea bass (Lates calcarifer) larvae infected with Aeromonas hydrophila. In vitro studies showed that MPE has a minimum inhibitory concentration (MIC) of 25 ppm and a minimum bactericidal concentration (MBC) of 25 ppm. In vivo, sea bass larvae were immersed in various concentrations of MPE at 0 ppm (control), 20 ppm, 40 ppm and 60 ppm, respectively, for 7 days with A. hydrophila. The results showed that the MPE-treated group had a higher survival rate compared to the control group. Hematological parameters showed that the MPE-treated group had significantly increased red blood cell (RBC), white blood cell (WBC) and hemoglobin (Hb) concentrations compared to the control group. In addition, the water quality parameters were not significantly different, except for ammonia concentration, with MPE having an ammonia concentration of 60 ppm being the lowest. All results can indicate that MPE can improve the antibacterial potential and the culture potential of sea bass larvae.
ปลากะพงขาว (Lates calcarifer) เป็นปลาที่ได้รับความนิยมมากที่สุดในอุตสาหกรรมการเพาะเลี้ยงสัตว์น้ำของไทย โดยเลี้ยงในน้ำจืดและน้ำกร่อย คิดเป็น 95.97% ของพื้นที่เพาะเลี้ยงปลาทะเลทั้งหมด ความสามารถในการปรับตัวและความง่ายในการเลี้ยงในน้ำจืดทำให้ตอบสนองความต้องการได้สูง แต่ยังประสบปัญหาโรคที่เกิดจากแบคทีเรีย เช่น Aeromonas hydrophila ซึ่งก่อให้เกิดโรคร้ายแรงและต้องการวิธีป้องกันที่เป็นมิตรต่อสิ่งแวดล้อม เปลือกมังคุด (Garcinia mangostana Linn.) ที่อุดมไปด้วยสารออกฤทธิ์ทางชีวภาพ แสดงคุณสมบัติต้านแบคทีเรียและเสริมภูมิคุ้มกันในสัตว์น้ำ จากการศึกษาพบว่าเปลือกมังคุดมีประสิทธิภาพในการต้านเชื้อโรคในปลา เช่น Vibrio harveyii และ A. hydrophila ซึ่งเป็นทางเลือกที่ยั่งยืนในการจัดการโรคในฟาร์มปลากะพงขาว
คณะวิศวกรรมศาสตร์
The project uses artificial intelligence (AI) and deep learning to develop a smart police system (Smart Police) to analyze the identity of individuals and vehicles suspected of involvement in crimes. The system uses CCTV cameras to detect people with concealed weapons and track vehicles involved in crimes. The system also sends alerts to the police when a crime is detected. The Smart Police system is a collaboration between the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, the Provincial Police Region 2, the Chachoengsao Foundation for Development, and the Smart City Office of Chachoengsao Province. The system is designed to prevent and deter crime, increase public safety and order, and build a network of cooperation between the government, the private sector, and the community. The system is currently under development, but it has the potential to be a valuable tool for law enforcement. The system could help to reduce crime and improve public safety in Chachoengsao Province and other parts of Thailand.
คณะวิศวกรรมศาสตร์
This project focuses on the development of an automatic license plate recognition system that supports both standard and special license plates in Thailand. By utilizing Machine Learning technology, the system enhances the efficiency of license plate reading. It can process data from both images and videos. Users can register and subscribe to the service, allowing them to send data for processing through RESTful API, WebSocket, and registered IP cameras.
คณะวิศวกรรมศาสตร์
The purpose of this invention is to develop a forest fire prevention agent that has the ability to prevent long-term forest fires, not only to suppress forest fires or prevent forest fires from spreading widely, but to prevent them from starting to catch fire from the beginning. It can prevent forest fires comprehensively and can be prevented for a long time during the peak forest fire period or the dry season, which is about 3-4 months. There are no residues or minimal residues without causing harm to the surrounding environment under the specified standards. Emphasis is placed on the use of raw materials, equipment, and chemicals that can be easily found in Thailand. This includes using the value of production costs as low as possible. This makes it suitable for use in large quantities for spraying and protecting forest areas in forest areas that are prone to fire. Estimated average for pollution caused by forest fires include particulate matter (PM), including PM2.5, PM10, carbon monoxide (CO), carbon dioxide, carbon dioxide, and carbon dioxide, Nitrogendioxide, VOC etc.