Application and Development of Shrimp Farming Intelligent Monitoring System on Edge Computing

Lin, Tien-Sheng; Chu, Ta-Jen; Shih, Yi-Jia; Yang, Jung-Kuei; Wei, Jun; Lin, Xu-Yin

doi:10.1109/icaceh54312.2021.9768844

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Research conducted by [10] tried to integrate several pools using XBee communication and motoring them. Research conducted by [11] uses deep learning: CNN to analyze dynamic parameters using images. Research conducted by [12] sed aquaculture optimization by performing pond management (parameters of water level, pH, temperature and humidity).…”

Section: Related Workmentioning

confidence: 99%

Development of Automatic Pond Reservoir System to Support Automatic Surface Vehicle

Destarianto

Hartadi

Ayuninghemi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Water quality is an important segment in shrimp farming. The main factor of water in ponds is seen from several dimensions, including the amount of dissolved oxygen, pH, and temperature. The implementation of the farmers at the research site uses a waterwheel approach for toot oxygen, KOH/Lime for pH, and circulating water in the pond for temperature. As the main factor, water must meet standards, oxygen levels (3-7ppm), pH (7-9pH), and temperature (24-32°C). This standardization aims to produce optimal shrimp culture considering that shrimp is one of the sensitive and cannibalistic animals. For example, if the temperature or pH suddenly changes, the shrimp will eat each other, but this standardization is challenging for farmers due to limitations. Human Resources. This study aims to develop an Automatic Pond Reservoir. The system built in this study implements fuzzy logic control on the Arduino for the classification process. It triggers the Pond Reservoir to ensure the water remains in optimal conditions for shrimp growth and development. The results of the tests were 282 times, showing an accuracy of 90%.

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Section: Related Workmentioning

confidence: 99%