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Grand prize-winning for incorporating ICT into honeycombs | |||
WRITER | 대외협력과 | WRITE DAY | 2023-11-19 |
COUNT | 172 |
Grand prize-winning for incorporating ICT into honeycombs | |||||
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대외협력과 | ![]() |
2023-11-19 | ![]() |
172 |
PKNU student won the 'grand prize’ in the 4th ICT Business Model Idea Contest
- the team of Lee Yeo-Jin, Lee Sung-Jae, Bang Sung-Joon, Jang Hyung-Seung proposed new auto beekeeping system
△ Pukyong National University students who won the grand prize at the 4th ICT business model idea contest posing for a commemorative photo.
The team of Lee Yeo-Jin, Lee Sung-Jae, Bang Sung-Joon, Jang Hyung-Seung, who are third year students majoring in information and communication engineering at Pukyong National University, won the grand prize (award by Busan city mayor) at the 4th ICT business model idea contest.
This competition, co-hosted by Busan IT industry promotion agency, Ulsan ICT promotion agency, Gyeongnam techno park and the Korea association for ICT promotion, was recently held as part of the ICT Innovation Square expansion project of the Ministry of science and ICT and the National IT industry promotion agency (NIPA) to foster digital innovation-driven talent in the Busan, Ulsan, and Gyeongnam area.
In this contest to plan business model ideas using new digital technologies such as AI, blockchain, data, IoT, and networks, Pukyong National University students proposed the 'auto beekeeping system', an automatic apiculture system that reduces the labor of beekeepers and received the highest evaluation from the evaluation panel among the participating teams.
They suggested this system to solve the difficulties experienced by beekeepers, such as preventing hornet-stung, checking the presence of a queen cell (a large room in the hive made to raise a new queen of bees), maintaining temperature and humidity, and maintaining the bee population.
The automatic beekeeping system proposed by them consists of 'YOLO v5', an object recognition model using artificial intelligence deep learning, as well as cameras, monitors, and various sensors.
This system is designed to not only prevent hornet stung by generating a frequency that attracts hornets when they appear and lure them into the trap, but also to identify queen cells and determine the number of bee populations in real time by analyzing images taken with a camera.
In addition, the automatic temperature and humidity controller controls the cooling fan and humidifier to maintain the temperature and humidity of the hive, and allows users to intuitively check this information through the application.
Advisor Joo Moon-Gap (information and communication engineering) said, "If we use this automatic beekeeping system, I expect that we will not only increase productivity by increasing work processing speed and reducing labor, but also expand the apiculture market through advanced technology by building beekeeping-related data sets. <Pukyong Today>