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INTERNET OF THINGS BASED PRACTICAL SMART ENVIRONMENTAL MONITORING SYSTEM FOR POULTRY FARM
(2026-01-01)
Anuwongpinit, Thanavit
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Manthawornsiri, Chananont
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Archevapanich, Tuanjai
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Purahong, Boonchana
In this article, we propose developing digital innovation of smart monitoring systems in the poultry farm using the Internet of Things (IoT) technology. This work aimed to design and develop a monitoring system based on an IoT system that transforms a traditional farm that uses a manual management system to apply an IoT system for environmental monitoring in a poultry farm. The main components include a hardware component that was designed and implemented to gather data of the poultry houses. Temperature and humidity sensor nodes are applied to monitoring the environment of poultry houses. The LoRa communication module in the sensor node will forward data to the gateway. The second principal component is the cloud server for data acquisition from the gateway. The cloud will be responsible for back-end processing and a web-based dashboard displaying mechanism. This system can work as an alarm notification system using LINE notify API for the LINE application that is the most popular communication application in Thailand. The system was implemented practically in one of the poultry farms in Prachinburi province, Thailand. The results indicate that the proposed system provides significant advantages, including enhanced monitoring accuracy, reduced energy consumption, and improved real-time environmental tracking for poultry farms.
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C2B Coordination and Optimization Strategy of Enterprise Supply Chain for Internet of Things E-Commerce Management
(2025-01-01)
Yi, Jing
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Zeng, Xiao
With the development of economy and the improvement of consumption level, consumers’ demand for product style, quality and price is also increasing. The traditional e-commerce model has been unable to meet the personalized needs of users. The Customer to Business (C2B) model is an e-commerce model based on customer’ needs, and enterprises can respond quickly. The main purpose of this paper is to discuss how to use the Internet of Things (IoT) technology to analyze and study the C2B supply chain of e-commerce, as well as the strategy of collaborative optimization. For C2B supply chain of e-commerce enterprises (e-CEs), this paper considered the impact of many factors on supply chain pricing, such as Degree of Effort for Personalized Customization (DEPC) r and the impact coefficient of cross price ϕ, which provided a theoretical basis for optimizing pricing decisions.
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Development of Shuttle-Tram Tracking System using IoT and Comparing of Map localization using Google APIs and Custom Map
(2025-01-01)
Thothong, Thirasit
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Anuwongpinit, Thanavit
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Sarikprueck, Piampoom
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Ta, Kuson
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Wilasuwan, Thanapat
This paper presents the development of an Internet of Things (IoT)-based Transit Tracking System. At the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, a public transportation system has been developed to facilitate transit around the campus using shuttle cars. Shuttle stations are placed along the routes, and cars run every 10-15 minutes. However, the problem of users not knowing the precise location and arrival time of each shuttle arose. To solve this, a transit tracking system was developed using IoT technology. IoT devices were installed on each vehicle to monitor their real-time locations. The data is collected via GPS and transmitted over the 4G network to a server, then stored in a database and displayed on a website in real-time using React. To reduce costs, a custom map was developed using the Leaflet library as an alternative to the Google Maps API. Testing within the Faculty of Engineering showed that the designed IoT system could transmit data successfully, with a performance of a custom map close to that of the Google Maps API, while also significantly reducing costs.
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IoT-based Water Quality Monitoring Station and Forecasting System with Machine Learning
(2025-01-01)
Jomjaiekachorn, Thanart
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Anuwongpinit, Thanavit
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Purahong, Boonchana
This paper presents an IoT-based water quality monitoring and forecasting system designed for real-time and continuous assessment of water resources. The system integrates Siemens SIMATIC IOT2050 as an Industrial IoT Gateway, which collects data from sensors measuring conductivity, pH, dissolved oxygen, and temperature using RS485 Modbus RTU communication. Data processing occurs at the edge using Node-RED and is transmitted to AWS Cloud via MQTT for storage and visualization on a dashboard. Predictive analysis employs machine learning models, including XGBoost with Optuna parameter tuning and Long Short-Term Memory (LSTM) networks, for water quality forecasting. Results indicate superior performance of LSTM for most parameters, while XGBoost excels in pH prediction. This system demonstrates scalability, reliability, and potential for enhanced water quality management in diverse environments.
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STRAWBERRY SEEDLING CULTIVATION WITH SMART FARM
(2025-01-01)
Kruekaew, Boonhatai
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Palananda, Attapon
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Kimpan, Warangkhana
In Thailand, the main planting areas are in the upper northern region. It is difficult for strawberry to be cultivated in the central region of Thailand due to inappropriate weather conditions. Because the strawberry seedlings are delicate and sensitive to alterations in temperature and weather, they require extra care than mature plants while cultivation before planting. Therefore, modifications to strawberry seedling cultivation may result in more strawberry plantings. Consequently, one of the most beneficial choices is a smart farming. This research focuses on the cultivation of strawberry seedlings in tropical areas of Thailand using an intelligence model and Internet of Things. The prototype system focuses on automatic watering and lighting, and an environmental adaptation system that combines sensors to control water, air, and lighting. The physical characteristics data from all devices in prototype system are collected, and then analyzed using machine learning methods to automatically control the environment within the prototype system to be suitable for growing strawberry seedlings. Moreover, the real-time data will be displayed on a dashboard with various notification systems. The experimental results indicated that using machine learning models can control the suitable temperature and humidity for strawberry seedlings cultivation. The appropriate temperature and soil moisture are between 31-32 degrees Celsius and 70 percent, respectively.
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Centralizing Data Warehouse Platform for Mining Management Using AWS Computing Instance
(2024-01-01)
Sathaporn, Posathip
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Chaowalittawin, Vasutorn
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Krungseanmuang, Woranidtha
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Benjangkaprasert, Chawalit
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Purahong, Boonchana
Mining industry is one of significant industry in the world. In order to increase efficiency, safety, sustainability and environmental impacts in mining process. This article presents a centralized data platform for mining process by design based on microservices architecture which can be supported various of input data source such as manual form, excel file and internet of things (IoT) device and notification when the value is abnormal. Our platform implementation on Amazon Web Service (AWS) cloud. For development of productivity in process and controlling quality the mine environment. The results of the platform operations with various source of data acquisition with response time is less than 1.5 seconds per each request.
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A Study of Using the IoT-based Angklung Smart Band System to Support Music Group Activities for the Elderly in Nursing Homes
(2022-01-01)
Cooharojananone, Nagul
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Phoasavadi, Pornprapit
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Hiranpanthaporn, Saranya
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Wongratanapitak, Paphutsorn
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Atchariyachanvanich, Kanokwan
Angklung, the Indonesian musical instrument, has been used to promote the well-being of the elderly with music group activities. This leads to a shortage of hand sign angklung music experts in the city. This musical group activity is not widely utilized. The 'Angklung Smart Band' is an IoT-based solution designed to assist angklung music experts or nursing home caregivers in Thailand in supporting angklung music group activities for the elderly. The system consists of a web application, Internet of Things devices, and angklung musical instruments linked through a wireless network. In this study, we evaluated the use of the angklung smart band to facilitate music group activities for the elderly in nursing homes. We compared the outcomes to the conventional hand sign method for promoting music group activities. We assessed the use of a smart band system with two groups of the elderly: a home group and a bedridden group. The results revealed that this approach is more appropriate for the home group than the bedridden group, since they can independently participate in music group activities. Consequently, the expert can focus on interaction with other elderly in order to ensure that all the elderly are always engaged in activities. A statistical analysis of the playing accuracy percentage showed that the smart band system can execute angklung music group activities as well as the hand sign method.
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The Atmospheric Ozone Monitoring System by using Internet of Things Technology for Nanosatellites (3U CubeSat)
(2021-01-01)
Udomsripaiboon, Thana
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Chaewsuwan, Chutiphan
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Chumpoowang, Thanatip
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Saetoen, Natthachai
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Rojanavasu, Pornthep
This paper presents the system for monitoring the condition of the earth's ozone layer using Internet of Things (IoT) technology. The proposed system deploys a 3U CubeSat satellite to measure ultraviolet intensity to compare the intensity value of ultraviolet radiation at each terrestrial base station through the web application. The measured data is computed and classified by cloud computing into five levels of the regional ozone layer's quality: excellent, good, average, fair, and poor. These data can also be gathered as statistics and retrieved on a daily, monthly and annual basis. Consequently, by this information, campaigning for people to reduce the destructive behaviours of the ozone layer in each area would be incredibly advantageous. In addition, each base station can be built for less than 150 using commonly available electronics and sensors, allowing the proposed system to be implemented and deployed globally. As a result, this project would be of great benefit to humanity to have information on the health of the ozone layer in each region around the world. This paper could be better inform monitoring strategies to reduce the greenhouse effect that brings unfamiliar and unpredictable impacts of climate change to the world.
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Smart collar design to predict cow behavior
(2020-11-04)
Nootyaskool, Supakit
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Ounsrimung, Pimolorat
Productivity from agriculture and farming is one major to drive Thailand's economy. Low price sensors and easy to make the Internet of Thing devices for making the data collector applied in various fields such as industry, communication, and transportation. However, smart application in agriculture does not apply widespread usage. This research proposed the detail design of the smart cow collar to use monitoring cow healthy. Data of walking and scraping of the cow sent to collect on the server and report to the user known the cow healthy by relating to the behavior. The purpose of the device helps the cow keeper reducing the monitoring of cow behaviors and it can predict illness and vital of the cow occurring in the future. For predicting part, design by the data from the gyroscopes after preparing send to Hidden Markov Models to predict cow behavior, however, this paper mainly focuses on the detail building the cow collar and creating the prototype device, then testing on the real environment.
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Understanding the Model of User Adoption and Acceptance of Technology by Thai Farmers: A Conceptual Framework
(2020-04-07)
Chaveesuk, Singha
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Chaiyasoonthorn, Wornchanok
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Khalid, Bilal
Thailand is constantly making policy changes and implementing Industrial revolution agendas like Thailand 4.0. With the advent of Industry revolution 4.0, Thailand government is making policy initiatives and technological advancement for successful transition to industry 5.0. The initiative is focused to offer farmers an opportunities to incorporate technology in their farming and agricultural processes to produce better crops and high-quality food. The Development of Eastern Economic Corridor is a crucial step in this regard as it focused on the evolution and progression of 10 key industries in Thailand. The plan is designed to be driven through agricultural technology and innovativeness. The future benefits of the ICT based 5.0 industrial revolution in agricultural field directly depends on the user adoption and acceptance of agricultural technology. The study, therefore, investigates the acceptance and adoption of ICT based products and services by farmers by utilizing the basics of TAM. The study proposes the framework of FTAM, and identifies the internal and external factors affecting the behavior intentions and attitude of farmers. It was found out that factors like "occupation relevance", "self-efficacy" and "social influence" affect the "Perceived usefulness (PU)" and "Perceived Ease of Use (PEOU) which in return impact their behavior intention and attitude towards utilizing and accepting ICT based products and services in farming and agriculture.

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