Artificial intelligence for agriculture and environment is a collection of significant models for enviromental friendly Thailand development. The models create with machine learning and deep learning by Near infrared spectroscopy research center for agricultural and food products, including: Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique using artificial intelligence, Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence, and Evaluation of global warming due to biomass combustion using non-destructive techniques using artificial intelligence. The basic technology used is Near infrared Fourier transform spectroscopy technology which measurement and output display can be done quickly without chemical, no requirement for special expert, and measurement price per sample is very low. But the instrument cannot be produced in Thailand.
ความเจริญก้าวหน้าทางวิชาการจะเป็นจริงเมื่อผลงานทางวิชาการถูกนำไปใช้ได้จริงในระบบการผลิตซึ่งมีนัยสำคัญทางเศรษฐกิจของประเทศ จึงได้นำผลงานของนักศึกษาและคณาจารย์ของศูนย์วิจัยเนียร์อินฟราเรดสเปกโทรสโกปีสำหรับผลิตผลเกษตรและอาหาร มานำเสนอในงานจัดแสดงนวัตกรรม KMITL Innovation Expo 2025 ในวันพฤหัสบดี 6 ถึง วันเสาร์ 8 มีนาคม 2568 ณ หอประชุมเจ้าพระยาสุรวงษ์ไวยวัฒน์ (วร บุนนาค) สจล. ซึ่งเป็นโอกาสดีของศูนย์วิจัยเนียร์อินฟราเรดสเปกโทรสโกปีสำหรับผลิตผลเกษตรและอาหารในการเปิดเผยผลงานทางวิชาการสำคัญซึ่งมีแนวโน้มสามารถนำไปใช้ได้จริงต่อสังคมเกษตรกรรมและสิ่งแวดล้อมเพื่อการพัฒนาประเทศ
คณะบริหารธุรกิจ
This project aims to develop seafood dipping sauce and Jaew sauce in solid cube form to address the limitations of liquid sauces, which can be difficult to carry and prone to spillage, as well as powdered sauces, which may lose their texture and authentic flavor. The research and development process focuses on utilizing distinct ingredients and innovative production techniques to enhance the quality and functionality of the product. The primary objective of this project is to introduce an innovative solution that improves the convenience of consumption and transportation while preserving the original taste and quality of traditional dipping sauces. The expected outcome is a novel dipping sauce product in solid cube form that is easy to carry, minimizes the risk of spillage, and holds potential for commercial development in the food industry.
คณะเทคโนโลยีสารสนเทศ
Cancer is one of the major health issues in Thailand, particularly as the country enters an aging society. The risk of chronic diseases among the elderly often results in limitations in treatment, making it difficult for most patients to achieve a complete recovery. This necessitates continuous care and the provision of accurate information and guidance about cancer. However, current health record systems for patients lack effective interconnectivity, which hinders data analysis and the development of patient care models. Additionally, incorrect information about cancer spread across social media can lead to misunderstandings among elderly patients. To address these issues, researchers have developed a chatbot system that utilizes Natural Language Processing (NLP) technology to understand human language and accurately respond to questions about elderly cancer patient care. The chatbot provides reliable and up-to-date information based on medical knowledge sourced from a database reviewed by healthcare professionals. Furthermore, a web application has been developed to record and analyze patient assessments according to medical standards, enabling healthcare providers to plan and develop appropriate treatment approaches in a better way. This system also facilitates data sharing and connectivity across hospital systems, allowing information to be used to enhance the precision and modernity of treatment approaches. In addition, the chatbot acts as an assistant, providing information and guidance to patients, reducing the workload of healthcare staff in answering questions and encouraging patients to take a more active role in managing their own health.
คณะวิศวกรรมศาสตร์
One of the most important aspects of responding to a medical case is the response time. In general, most fatalities are due to the patient not being able to reach the hands of the doctor in time. This also includes the arrival of medical equipment to the scene. The human brain will start to degrade in function after 3 minutes of oxygen starvation which conventional road transportation method first responders presently use is usually unable to reach the site in this golden 3 minutes, resulting in fatalities during transport or before the arrival of first responders at the scene. Therefore, medical equipment transport by fully autonomous aircraft is explored. This is done through drone deliveries which is much quicker than road methods as the equipment could be flown straight to the site as it is not affected by traffic, road conditions, and navigation. In this project, we will explore an aerial delivery system for medical equipment such as Automatic External Defibrillators (AEDs), First aid equipment, and other small requested medical devices. This will be done through a DJI drone platform and their SDK application. The main goal for this project is to decrease the response time by using an autonomous aerial drone to deliver medical equipment.