AIoTs for Smart Shrimp Farming

An IoT system has been built to observe and analyze shrimp and feed conditions under turbid underwater environment in typical shrimp farms. The system streams underwater videos and water quality sensor data to a cloud server where the videos are automatically enhanced and analyzed, based on AI relat...

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Bibliographic Details
Published in2019 International SoC Design Conference (ISOCC) pp. 17 - 18
Main Authors Huang, Ing-Jer, Kuang, Shiann-Rong, Chang, Yun-Nan, Hung, Chin-Chang, Tsai, Chang-Ru, Feng, Kai-Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.10.2019
Subjects
Cloud computing
Farming
Feeds
Image edge detection
Servers
Videos
Water quality
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Summary:An IoT system has been built to observe and analyze shrimp and feed conditions under turbid underwater environment in typical shrimp farms. The system streams underwater videos and water quality sensor data to a cloud server where the videos are automatically enhanced and analyzed, based on AI related techniques, to identify important objects such as shrimps and feeds. To support the scalability of our system, edge devices are currently under development to perform real time video enhancement and object detection at the farm site such that only processed information are sent back to the cloud in order to reduce the burdens of the network bandwidth and the computing/storage of the cloud servers.
DOI:10.1109/ISOCC47750.2019.9078467