This research focuses on the design and development of a prototype Artificial Intelligence of Things (AIoT) system for monitoring and controlling irrigation using weather information. The system consists of four main components: 1) Weather Station – This component includes various sensors such as air temperature, relative humidity, wind speed, and sunlight duration, among others, to collect real-time weather data. 2) Controller Unit – This unit is equipped with machine learning algorithms or models to estimate the reference evapotranspiration (ETo) and calculate the plant’s water requirement by integrating the crop coefficient (Kc) with other plant-related data. This enables the system to determine the optimal irrigation amount based on plant needs automatically. 3) User Interface (UI) and Display – This section allows farmers or users to input relevant information, such as plant type, soil type, irrigation system type, number of water emitters, planting distance, and growth stages. It also provides a display for monitoring and interaction with the system. 4) Irrigation Unit – This component is responsible for controlling the water supply and managing the irrigation emitters to ensure efficient water distribution based on the calculated requirements.
การเปลี่ยนแปลงสภาพอากาศของโลกทวีความรุนแรงขึ้นอย่างต่อเนื่อง สถานการณ์ดังกล่าวส่งผลกระทบ โดยตรงต่อภาคการเกษตร โดยเฉพาะในประเทศไทยที่มีแนวโน้มเผชิญกับปัญหาการขาดแคลนน้ำและความ ผันผวนของปริมาณน้ำฝน ซึ่งส่งผลต่อทั้งปริมาณและคุณภาพของผลผลิตทางการเกษตรโดยตรง ทั้งนี้ การบริหารจัดการน้ำในภาคเกษตรกรรมของประเทศไทยยังคงเผชิญกับข้อจำกัดหลายประการ เกษตรกรส่วนใหญ่ยังคงพึ่งพาประสบการณ์ส่วนตัวในการให้น้ำพืช ซึ่งอาจนำไปสู่การใช้น้ำที่ไม่มีประสิทธิภาพ เช่น การให้น้ำมากเกินความจำเป็นหรือน้อยเกินไปจนส่งผลกระทบต่อผลผลิต หรืออาจนำไปสู่ปัญหา เช่น การแตกใบอ่อน การร่วงของดอก และมีผลผลิตที่ไม่ได้คุณภาพ (Togneri et al., 2023) ในขณะที่ข้อมูลทาง วิชาการที่สามารถช่วยให้การบริหารจัดการน้ำมีความแม่นยำขึ้น เช่น ค่าอัตราการใช้น้ำของพืชอ้างอิง (Evapotranspiration: ETo) และค่าสัมประสิทธิ์พืช (Kc) กลับเข้าถึงได้ยาก เนื่องจากมีความซับซ้อนในการ คำนวณ อีกทั้งข้อมูลที่มีอยู่มักเป็นข้อมูลเฉลี่ยรายจังหวัดซึ่งไม่สามารถนำไปใช้ได้อย่างมีประสิทธิภาพในระดับ ฟาร์ม โครงการนี้จึงมุ่งเน้นไปที่การพัฒนาระบบปัญญาประดิษฐ์สำหรับการติดตามและควบคุมการให้น้ำพืชอัจฉริยะ โดยอิงข้อมูลสภาพอากาศซึ่งจะช่วยแก้ไขข้อจำกัดของเกษตรกรไทยในการเข้าถึงข้อมูลที่ ถูกต้องและการบริหารจัดการน้ำที่แม่นยำ
คณะวิศวกรรมศาสตร์
The Thai Sign Language Generation System aims to create a comprehensive 3D modeling and animation platform that translates Thai sentences into dynamic and accurate representations of Thai Sign Language (TSL) gestures. This project enhances communication for the Thai deaf community by leveraging a landmark-based approach using a Vector Quantized Variational Autoencoder (VQVAE) and a Large Language Model (LLM) for sign language generation. The system first trains a VQVAE encoder using landmark data extracted from sign videos, allowing it to learn compact latent representations of TSL gestures. These encoded representations are then used to generate additional landmark-based sign sequences, effectively expanding the training dataset using the BigSign ThaiPBS dataset. Once the dataset is augmented, an LLM is trained to output accurate landmark sequences from Thai text inputs, which are then used to animate a 3D model in Blender, ensuring fluid and natural TSL gestures. The project is implemented using Python, incorporating MediaPipe for landmark extraction, OpenCV for real-time image processing, and Blender’s Python API for 3D animation. By integrating AI, VQVAE-based encoding, and LLM-driven landmark generation, this system aspires to bridge the communication gap between written Thai text and expressive TSL gestures, providing the Thai deaf community with an interactive, real-time sign language animation platform.
คณะอุตสาหกรรมอาหาร
The activities of the project's operations consist of: checking microbe on sample food, hygienic condition of cooker, containers and materials, sanitation knowledge and private sanitation and food quality of canteen and cleaning of cooker. The Food Safety Management program collaborated with the Property Management office, planned the operations, and assessed food vendors based on the SAN 20 food safety standards requirements. Using A.13 testing kits, we conducted testing for coliform bacteria contamination in food, containers, equipment, and hand contact surfaces, collecting 6 samples. These included samples such as prepared food, areas in front of the store, and food handlers' hands. Additionally, we used A.11 testing kits to test for coliform bacteria contamination in water and ice. The analysis of results, including physical, microbiological, and chemical aspects, serve as a guideline for improving the quality and safety of food production and service in the institution's canteen.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang has a vision for sustainable excellence. The mission is to develop learners to be ready for the digital world, develop educational innovations using research as a base, strategic management with good governance, and academic services that benefit society. In this activity, the group of students joined with the Embassy of the Russian Federation in the Kingdom of Thailand, the working group of the Thai Silk and Culture Promotion Association, and the working group of the National Research Office (NRCT) to integrate knowledge to design a silk outfit that combines Thai and Russian cultures, create a network of cooperation in arts, culture, technology, innovation, and dissemination of knowledge and the beauty of Thai silk. The objective is to develop the potential of teachers and students in creative design, listen to the work guidelines from the working group of the Thai Silk and Culture Promotion Association, the working group of the National Research Office (NRCT) via an online meeting. The team of teachers and students from King Mongkut's Institute of Technology Ladkrabang under the name of the "Love Silk" group designed a Thai silk outfit that combines cultures with the identity of Thai silk and studying traditions and cultures of the Russian Federation's clothing. They studied related literature and research documents and integrated knowledge into the design process, inspired by the concept of the Rajapataen outfit. Since the reign of King Chulalongkorn (Rama V) in 1872, together with the clothing culture of the Russian Federation, emphasizing Thai silk, this concept has gone through the process of creating and selecting the design concept (Concept Generation and Selection). The concept received from the embassy was first submitted for feedback on July 25, 2024. There was a suggestion to add more uniqueness to Thai silk through a fashion show presentation by the wife and grandson of the Ambassador of the Russian Federation. Therefore, the designed outfits are 1 set of women's clothes and 1 set of boys' clothes. The women's set has an inner shirt adapted from the royal outfit using silk fabric, Kon Ka-ed pattern, with two separate pieces: 1 shirt and 1 skirt. The jacket is a modified long suit style, plain silk, dark pink and red. The boys' set has a long-sleeved shirt adapted from the contemporary royal style, tailored with cream silk, long slacks tailored with raw betel silk, and a collarless coat with blue silk and lotus pattern. Adapted from the Rajapattan suit with a long collar in an international style. On August 2, 2024, the designed suit and the prototype of the raw fabric suit were brought to the ambassador's wife and nephew to try on. On August 30, 2024, the ambassador was met for the 4th time to bring the silk suit that was cut into a real silk suit. The shirt was given to the ambassador's wife and nephew to try on. It was worn to join the fashion show in the 13th "Thai Silk to the World" Silk Festival at the Naval Auditorium, where lecturers and students from the Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang, joined the fashion show in the finale round, which proceeded smoothly. After the event, the working group of the Thai Silk and Culture Promotion Association brought the clothes designed and tailored by the "Rak Prae Mai" team to exhibit Thai Silk to the World Exhibition from September 1-8, 2024 at the Emsphere Shopping Mall. The team summarized the report and compiled a complete report. In the implementation of this project, the Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang has received support and facilitation throughout the project. The budget support from the National Research Council of Thailand (NRCT), the support of fabrics for sewing from the Thai Silk and Culture Promotion Association, and the information for designing valuable silk dresses from the Embassy of the Russian Federation in the Kingdom of Thailand are very important factors that made this operation a success. It is a very important experience for the team of teachers and students of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang. We sincerely hope to receive good cooperation in the future.