Smart Agriculture has rapidly developed in recent years, particularly with the integration of robotics and automation technologies to improve production efficiency and reduce costs, thereby enhancing the quality of current agricultural practices. A key innovation in this area is the rail-based robotic arm, designed to enhance work efficiency using a rail system with high precision and effectiveness. The application of this robotic arm covers various processes, such as planting, sorting, maintenance, harvesting, and resource management, allowing continuous operation and reducing human labor in repetitive and high-risk tasks. Studies have shown that the use of rail-based robotic arms in agriculture can significantly improve work efficiency, reduce production costs, and effectively mitigate environmental impact. By using robots in agricultural processes, it is possible to reduce contamination, lower the risk of crop damage, and make agriculture more sustainable. Additionally, it can increase accuracy in operations on limited spaces or farms with diverse crops. From these findings, it can be concluded that adopting rail-based robotic arm technology in agriculture not only enhances long-term production efficiency but also promotes sustainable agriculture and maximizes resource use, meeting future agricultural demands
ประเทศไทยเป็นประเทศเกษตรกรรม การที่จะนำเทคโนโลยีเข้ามาช่วยพัฒนาระบบการเกษตรกรรม ให้มีความทันสมัย มีประสิทธิภาพ เพื่อช่วยยกระดับอุตสาหกรรมการเกษตรของไทยนั้น เป็นสิ่งที่มีความสำคัญมาก เราจึงได้พัฒนา “เเขนกลระบบรางเพื่อการเกษตรอัฉริยะ” โดยเทคโนโลยีนี้ช่วยลดการใช้แรงงานคน เพิ่มความแม่นยำในการทำงาน และสามารถทำงานได้ตลอดเวลาไม่หยุดพัก นอกจากนี้ยังช่วยลดต้นทุนการผลิตและเพิ่มผลผลิต ทำให้เกษตรกรสามารถแข่งขันในตลาดโลกได้ดียิ่งขึ้น และช่วยพัฒนาความยั่งยืนในภาคการเกษตรของประเทศไทย
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
The Department of Engineering Education at KMITL offers courses in power electronics laboratory practices, which require the use of expensive imported training kits. This results in a loss of national revenue due to the purchase of these imported kits. Therefore, the developers propose a power electronics training kit that offers equivalent or superior functionality to the imported ones while being more cost-effective, making it suitable for student experiments.
คณะอุตสาหกรรมอาหาร
Spent coffee grounds (SCG) are a byproduct of the coffee brewing process, and their quantity continues to increase due to the growing global coffee consumption. SCG contain beneficial compounds such as polysaccharides, dietary fibers, and antioxidants, which can be utilized in various applications, including prebiotic extraction. This study focuses on extracting prebiotics from SCG using acid hydrolysis and enzymatic hydrolysis methods to evaluate their potential in promoting the growth of beneficial gut microorganisms. The expected results of this research include adding value to coffee industry waste, reducing organic waste, and providing a sustainable approach to developing prebiotic products for use in the food and health industries. Furthermore, this study aligns with sustainable resource utilization and environmentally friendly practices.
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.