-
-
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
-
วิทยาเขตชุมพรเขตรอุดมศักดิ์
The presented GUI program is designed to display irregular weather conditions and predict durian yields using satellite data and artificial intelligence. It integrates satellite-based environmental monitoring, geospatial analysis, and AI-driven prediction with ground-based measurements, geospatial intelligence, environmental analytics, and machine learning. This integration supports scientific research, environmental monitoring, climate assessment, and data-driven decision-making. The GUI program provides analytical and predictive information based on datasets, algorithms, models, and parameters selected by the user. Predictions, classifications, and analytical results should be interpreted as model-based information, not as substitutes for professional judgment, field observations, official measurements, or regulatory information. Accuracy may vary depending on data quality, spatial and temporal resolution, model configuration, input variables, geographic conditions, and other analytical assumptions. Users are responsible for validating analytical results before applying them to operational, scientific, commercial, regulatory, or policy-related decisions.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This research project aims to develop Edu Lab-on-Board, a series of ten compact electronics and embedded systems learning kits designed to enhance hands-on education in electronics, microcontrollers, artificial intelligence, and automation. The proposed kits are designed to be portable, allowing students to continue practicing and developing their skills outside the laboratory, while maintaining a low production cost, ease of maintenance, and scalability for future production within the institution. The project encompasses electronic circuit and PCB design, prototype development, hardware assembly, software validation, and the preparation of laboratory manuals and experiment worksheets for all ten learning kits. The expected outcomes include a complete set of practical learning kits and instructional materials that support Active Learning, strengthen students' practical engineering and technological competencies, and better align educational outcomes with current industrial demands. Furthermore, the developed learning kits are expected to be adaptable for use in other academic programs and institutions, with strong potential for future commercialization.