The development of a board game to enhance cooking skills focuses on a popular and well-known dish—burgers. This study integrates learning with interactive gameplay, allowing players to gain knowledge about burgers, including their ingredients, preparation methods, and even the basics of running a burger business. Through hands-on activities and engaging game mechanics, players can develop both their culinary skills and entrepreneurial mindset while enjoying the fun and immersive experience of the board game.
บอร์ดการ์ด (Board Game) ได้รับความนิยมที่มากขึ้นในปัจจุบันและถูกพัฒนาอย่างต่อเนื่องจนสามารถเป็นสื่อเพื่อการเรียนรู้ในลักษณะของบอร์ดเกมเพื่อการศึกษาที่สามารถสร้างความสนุกสนาน ความท้าทายและเปิดโอกาสให้มีอำนาจในการตัดสินใจให้ผู้เรียนได้ทดลองความถูกต้องจนพัฒนาศักยภาพให้ผู้เรียนได้หลายทิศทาง เช่น ความเข้าใจ การจดจำ การคิดวิเคราะห์ การสื่อสารระหว่างบุคคลหรือความสัมพันธ์ ไปจนถึงความคิดสร้างสรรค์ ผู้ศึกษาจึงเล็งเห็นถึงโอกาสและความเหมาะสมในการพัฒนาบอร์ดเกมที่ให้เกิดความรู้และความเข้าใจในความรู้เบื้องต้นที่เกี่ยวข้องกับเบอร์เกอร์
คณะวิศวกรรมศาสตร์
This thesis project was conducted to identify the optimal conditions for producing concentrated butterfly pea juice using vacuum evaporation to preserve key compounds in butterfly pea flowers, such as anthocyanins—natural pigments with high antioxidant properties. The study applies a Box-Behnken Design, a statistical method that facilitates analysis of multiple factors. The research focuses on the ratio of dried butterfly pea flowers to water, extraction temperature, and evaporation temperature, each of which has a direct effect on the preservation of key compounds, color, aroma, and flavor. The results indicate that using a dried flower-to-water ratio of 1:15, an extraction temperature of 60°C, and an evaporation temperature of 40°C under low pressure can minimize the loss of essential compounds and best retain the properties of the concentrated butterfly pea juice. Findings from this research provide a foundation for developing an industrial production process for concentrated butterfly pea juice and enhance the potential for creating new products from butterfly pea flowers.
คณะเทคโนโลยีการเกษตร
Durian is a crucial economic crop of Thailand and one of the most exported agricultural products in the world. However, producing high-quality durian requires maintaining the health of durian trees, ensuring they remain strong and disease-free to optimize productivity and minimize potential damage to both the tree and its fruit. Among the various diseases affecting durian, foliar diseases are among the most common and rapidly spreading, directly impacting tree growth and fruit quality. Therefore, monitoring and controlling leaf diseases is essential for preserving durian quality. This study aims to apply image analysis technology combined with artificial intelligence (AI) to classify diseases in durian leaves, enabling farmers to diagnose diseases independently without relying on experts. The classification includes three categories: healthy leaves (H), leaves infected with anthracnose (A), and leaves affected by algal spot (S). To develop the classification model, convolutional neural network (CNN) algorithms—ResNet-50, GoogleNet, and AlexNet—were employed. Experimental results indicate that the classification accuracy of ResNet-50, GoogleNet, and AlexNet is 93.57%, 93.95%, and 68.69%, respectively.
คณะวิศวกรรมศาสตร์
This project aims to develop an AI-powered system for detecting and classifying wall cracks using image processing. It identifies different crack types, assesses severity, and ensures accuracy across various image conditions. The goal is to support preventive maintenance by enabling early detection of structural issues, reducing repair costs, and improving safety.