IoT Based Integrated System to Monitor the Ideal Environment for Shrimp Cultivation with Android Mobile Application

Hasan Mahmud, Md. Afzalur Rahaman, Subrata Hazra and Shariar Ahmed
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Hasan Mahmud: Hamdard University Bangladesh
Md. Afzalur Rahaman: Hamdard University Bangladesh
Subrata Hazra: Hamdard University Bangladesh
Shariar Ahmed: Hamdard University Bangladesh

European Journal of Information Technologies and Computer Science, 2023, vol. 3, issue 1, 22-27

Abstract: Bangladeshi shrimp aquaculture has shown to be successful and efficient at earning foreign cash. The country covers 147570 square kilometers, 17% of which is roughly made up of coastal brackish water. Shrimp farming is thought to be more favorable in this larger coastal tide area, and 0.276 million hectares of land are being used for brackish water shrimp farming. The coastal area offers the best prospects for shrimp and prawn cultivation for two key reasons. The mangrove ecosystems' distinctive biodiversity is the first justification, and a shrimp-friendly habitat is the second. A large number of fishing vessels are sent out into the seas in order to mine shrimp which is undoubtedly considered a challenging job. Therefore, growing shrimp in tanks, especially in tropical regions, is more sensible for farmers. In this paper, we have developed an IoT-based solution that connects devices to collect data on shrimp farms, and sensing equipment and then sends it to a distant server to analyze and generate decisions. This smart farm offers real-time agriculture monitoring. The main components of the system are three embedded sensors to assess the temperature, turbidity, and light that impact the quality of the water. The system also incorporates of an android-based mobile application that facilitates farmers with remote monitoring capabilities to keep track of sensor readings, manage the shrimp production cycle, and check on the health of shrimp from different farms.

Keywords: Internet of Things; shrimp farming; smart farming (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:3:y:2023:i:1:id:10089

DOI: 10.24018/compute.2023.3.1.89

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