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.
ปัจจุบัน เทคโนโลยี RFID (Radio Frequency Identification) ได้รับการใช้งานอย่างแพร่หลายในหลากหลายอุตสาหกรรมและแอปพลิเคชันที่เติบโตอย่างรวดเร็ว เทคโนโลยีนี้ใช้คลื่นวิทยุในการระบุวัตถุที่ติดแท็กโดยไม่จำเป็นต้องมองเห็นหรือสัมผัสโดยตรง ทำให้การติดตามและระบุตำแหน่งมีความแม่นยำ คุ้มค่าทางเศรษฐกิจ และสามารถทำงานได้อย่างมีประสิทธิภาพในสภาพแวดล้อมที่หลากหลาย เช่น ภาคอุตสาหกรรมและการเกษตร ในภาคการเกษตร การใช้ RFID มีข้อดีหลายประการ เช่น ความสามารถในการทำงานกลางแจ้งโดยไม่ต้องพึ่งพาเซ็นเซอร์ราคาแพงหรือระบบสะท้อนสัญญาณที่ซับซ้อน ซึ่งช่วยลดต้นทุนและเพิ่มความแม่นยำในการควบคุมอุปกรณ์ทางการเกษตร งานวิจัยนี้มุ่งเน้น การออกแบบและพัฒนาระบบขับเคลื่อนต่อพ่วงอุปกรณ์ทางการเกษตรโดยใช้เทคโนโลยี RFID เพื่อศึกษาการเคลื่อนที่ของระบบบนพื้นผิวที่แตกต่างกัน ได้แก่ พื้นปูนคอนกรีตและสนามหญ้า โดยมีการติดตั้งแท็ก RFID บนเสาของแต่ละแถวเพื่อช่วยระบุตำแหน่งและทิศทางการเคลื่อนที่ของระบบ ผลการศึกษานี้จะช่วยให้เข้าใจข้อดีและข้อจำกัดของการใช้ RFID ในภาคการเกษตร ซึ่งสามารถนำไปต่อยอดเพื่อพัฒนาเทคโนโลยีการเกษตรให้มีประสิทธิภาพและลดต้นทุนในอนาคต
คณะวิศวกรรมศาสตร์
Jaundice, a common condition in infants that results from high bilirubin levels in the blood, often requires early diagnosis and monitoring to prevent severe complications, especially in newborns. Traditional diagnostic methods can be time-consuming and subject to human error. This study proposes an approach for real-time jaundice detection using advanced image processing techniques and machine learning algorithms. By analyzing images captured in RGB color spaces, pixel values are extracted and processed through Otsu’s thresholding and morphological operations to detect color patterns indicative of jaundice. A classifier model is then trained to distinguish between normal and jaundiced conditions, offering an automated, accurate, and efficient diagnostic tool. The system’s potential to operate in real-time makes it particularly suited for clinical settings, providing healthcare professionals with timely insights to improve patient outcomes. The proposed method represents a significant innovation in healthcare, combining artificial intelligence and medical imaging to enhance the early detection and management of jaundice, reducing reliance on manual interventions and improving overall healthcare delivery.
คณะเทคโนโลยีการเกษตร
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.
คณะวิศวกรรมศาสตร์
Nowadays, rail transportation has a significant impact on people's lives and economic growth. Consequently, the number of rail systems being built around our country has dramatically increased. This process causes various types of pollution, such as noise and rail-way vibration, which can badly affect the life of citizens who live nearby. The most popular way to solve this problem recently is to decrease the noise from the sound source or to adjust the vibration by attaching a Track Damper to the railway. This technique is being used in many countries especially in Europe and Australia because it is cheap and has high efficiency. The key piece called Track Dampers are made by AUT company’s Thailand for a period of time. The company produces Track Dampers for the owner of the technology so as to sell more than 300,000 pieces of it overseas. Furthermore, the demand of Track Dampers grows as the railway systems expand. Unfortunately, the imported synthetic materials, which are used to create Track Dampers, are made from environmentally unfriendly sources. As a result, this research aims to develop the product to be environmentally-safe by replacing some imported materials with Thai’s local content; which are natural rubber and rubber crumbs. Furthermore, the product will be added value by mounting with embedded sensors for real-time monitoring of track vibration, noise, and rail temperature. All embedded devices developed will sense, collect, and automatically send to cloud by wireless technology platform. The AI and IOT platform will also be developed for safety, security, and maintenance proposed of railway track system. However, in conducting research, there will be close collaboration with AUT company through design, production, and testing. The outcome of this research is to upgrade AUT company from tier 2 manufacturer (TRL 8-9) to tier 1 manufacturer (TRL 7-8) which will be served the Thailand competitiveness enhancing strategic goal.