Journal of Industrial Technology Buriram Rajabhat University

Development of an Automatic Feeding Machine for Aquatic Animals Considering Key Factors Affecting Proper Feeding

2025-01-08T12:40:00+07:00

This research focuses on developing an automatic feeder that optimizes aquatic animal feeding by incorporating key environmental factors. Using image processing technology and IoT connectivity, the system ensures that aquatic animals receive the appropriate amount of food while monitoring their behavior. The system accounts for critical environmental factors, including water temperature, oxygen levels, turbidity, pH, and light, all of which influence feeding behavior. The system development is divided into three parts, with the web application serving as a tool to manage the operation of the automatic feeder for aquatic animals based on key feeding factors and to access various data. The image processing component utilizes real-time object detection modeling technology to identify food in the pond. The automatic feeder is designed to accommodate key feeding factors and is adaptable for use in various environments.

The experimental study of the automatic aquatic animal feeder, which operates based on key factors affecting food intake and is controlled via a web application, the system successfully dispenses food automatically according to the scheduled time and user-specified environmental conditions. Water quality is monitored through sensors, and the system tracks food intake by detecting leftover food in the pond. The image processing method achieved an accuracy of 66.09%, with detection errors primarily caused by uncontrollable light variations, which make air bubbles appear similar to food pellets. Additionally, users can monitor various data and the machine's operating status through the web application.

Design and Construction of an Electric-Powered UAV for Chemical Spraying in Agriculture

2025-05-15T09:41:26+07:00

This research article presents the unmanned aerial vehicle (UAV) for agricultural purposes. The primary objective is to design and build an unmanned aerial vehicle for agricultural chemical spraying, and to mitigate health issues associated with the use of chemical pesticides by farmers, and to reduce labor while increasing efficiency. The research equipment utilized includes flight control systems, brushless motors, radio communication sets, etc. Experimental results demonstrate that the flight control system effectively maintains stability for ascending, descending, and maneuvering flights. Additionally, the use of a 6-cell lithium polymer (Li-Po) battery with a voltage of 25.2V and a capacity of 5,200mAh enables the UAV to spray 2 liters of liquid chemical for agriculture per full charge at 25.2V

Gas leakage Detection on Embedded System and Wireless cellular network past Alerts System

2025-06-29T23:50:22+07:00

This research presents a gas leak detection and alert system via mobile phone, controlled by a microcontroller. The system consists of three main components: an input unit, a central processing unit, and an output unit, powered by a direct current (DC) power supply. The input unit utilizes an MQ-5 gas sensor capable of directly detecting LPG gas and transmitting the signal to the microcontroller board for processing. The processed signal then activates output devices such as a siren and an emergency rotating light. Additionally, the system is capable of automatically making phone calls to notify caretakers. Performance tests indicate that the detection and alert speed depends on the gas leak concentration and the environmental conditions of the installation area. The system can be further developed and applied in industrial factories or small-scale business establishments.

Line-following and Object-detecting Robot

2025-06-30T23:40:35+07:00

This research aims to design and develop a line-following and object-detecting robot. The tools and components used include wheels, servo motors, an Arduino Mega2560 board, motor driver board, switching power supply, LiPo battery, color sensor, and line tracking sensor. The experiment measured the robot's movement speed by adjusting the pulse width. At a pulse level of 45, the speed recorded was 2.57 minutes; at level 55, it was 2.47 minutes; at level 65, it was 2.43 minutes; and at level 75, the speed improved to 2.31 minutes.

Demonstration Set of Automatic Hydroponics Plant Indoor

2025-07-01T07:07:12+07:00

This research article presents a hydroponic plant cultivation demonstration system using LED light as a substitute for sunlight. The objective is to compare the results with natural plant cultivation. The experiment involved growing morning glory and collecting data over a 28-day period by measuring the height of the plants (in centimeters) and the number of leaves (leaves per plant) each week. The results showed that in Week 1, plants grown under natural sunlight were taller than those grown under LED light, and no leaves were observed in either method. In Week 2, the plant heights were similar for both methods, but the naturally grown plants had more leaves. In Weeks 3 and 4, the plants grown under natural light continued to outperform the LED-grown plants in both height and leaf count. In conclusion, plant cultivation using natural sunlight yielded better growth results than using LED light, both in terms of plant height and number of leaves.