Knowledge Based Real Time Monitoring System for Aquaculture Using IoT
Autor: | G. Harish Kumar Varma, K. Raghu Sita Rama Raju |
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Rok vydání: | 2017 |
Předmět: |
Computer science
business.industry media_common.quotation_subject 020206 networking & telecommunications Cloud computing 02 engineering and technology Agricultural engineering 010501 environmental sciences Computer security computer.software_genre 01 natural sciences Knowledge-based systems Aquaculture Agriculture Arduino 0202 electrical engineering electronic engineering information engineering Quality (business) Water quality business Productivity computer 0105 earth and related environmental sciences media_common |
Zdroj: | 2017 IEEE 7th International Advance Computing Conference (IACC). |
DOI: | 10.1109/iacc.2017.0075 |
Popis: | Internet of things is one of the rapidly growing fields for delivering social and economic benefits for emerging and developing economy. The field of IOT is expanding its wings in all the domains like medical, industrial, transportation, education, mining etc. Now-a-days with the advancement in integrated on chip computers like Arduino, Raspberry pi the technology is reaching the ground level with its application in agriculture and aquaculture. Water quality is a critical factor while culturing aquatic organisms. It mainly depends on several parameters like dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates etc. The quality of water is monitored continuously with the help of sensors to ensure growth and survival of aquatic life. The sensed data is transferred to the aqua farmer mobile through cloud. As a result preventive measures can be taken in time to minimize the losses and increase the productivity. |
Databáze: | OpenAIRE |
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