IoT Based Integrated System to Monitor the Ideal Environment for Shrimp Cultivation with Android Mobile Application
##plugins.themes.bootstrap3.article.main##
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.
References
-
Goud CS, Das S, Kumar R, Mahamuni CV, Khedkar S. Wireless Sensor Network (WSN) Model for Shrimp Culture Monitoring using Open Source IoT. Second International Conference on Inventive Research in Computing Applications (ICIRCA); 2020.
Google Scholar
1
-
Raju KRSR, Varma GHK. Knowledge Based Real Time Monitoring System for Aquaculture Using IoT. 7th International Advance Computing Conference (IACC). 2017: 318-321.
Google Scholar
2
-
Saha S, Hasan Rajib R, Kabir S. IoT Based Automated Fish Farm Aquaculture Monitoring System. International Conference on Innovations in Science, Engineering and Technology (ICISET). 2018: 201-206.
Google Scholar
3
-
Rahut SK, Tanvir RA, Rahman S, Akhter S. Scientific Paper Peer-Reviewing System with Blockchain, IPFS, and Smart Contract. IGI Global, 2021: 1029-1060.
Google Scholar
4
-
Hossain MS, Das N. GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachiumrosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh. Computers and Electronics in Agriculture, Elsevier. 2010; 70(1): 172-186.
Google Scholar
5
-
Jie W, Lu T, Yakun W, Lingyun Y, Xinping Z. Effects of salinity, photoperiod, and light spectrum on larval survival, growth, and related enzyme activities in the giant freshwater prawn, Macrobrachiumrosenbergii. Aquaculture. 2021.
Google Scholar
6
-
Bangladesh Shrimp Export: Business Inspection BD [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://businessinspection.com.bd/bangladeshs-shrimp-export-rises.
Google Scholar
7
-
How Bangladesh’s shrimp industry is driving a freshwater crisis [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://chinadialogueocean.net/en/fisheries/20031-how-bangladeshs-shrimp-industry-is-driving-afreshwater-.
Google Scholar
8
-
Mahmud H, Rahaman MA, Emon MFHM, Tamim TM. IoT Based Online Integrated System to Share Available Parking Space. European Journal of Information Technologies and Computer Science. 2022; 2(6): 19-23.
Google Scholar
9
-
Gravity: Analog Turbidity Sensor For Arduino–DFRobot [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://www.dfrobot.com/product-1394.html.
Google Scholar
10
-
ESP8266 Light Sensor [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://www.instructables.com/ESP8266-Light-Sensor.
Google Scholar
11
-
Node MCU Development Board Pinout Configuration [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://components101.com/development-boards/nodemcu-esp8266-pinout-features-and-datasheet.
Google Scholar
12
-
What is a Breadboard: Construction & It’s Working [Internet]. 2022 [updated 2022 August 1; cited 2022 December 10]. Available from: https://www.watelectronics.com/breadboard-construction-types-working/.
Google Scholar
13
-
Nagabhushana S, Kamisetti R,Shashikant SS, Shaligram AD. Smart Electronic System for Pond Management in Fresh Water Aquaculture. IEEE Symposium on Industrial Electronics and Applications (ISIEA2012). 2012.
Google Scholar
14
-
Ma Y and Ding W. Design of Intelligent Monitoring System for Aquaculture Water Dissolved Oxygen. IEEE 3rd Advanced Information Technology Electronics and Auomation Control Conference (IAEAC). 2018.
Google Scholar
15
-
Vishwakarma V, Gurav A, Patel H, Sahasrabudhe S. Acqua culture monitoring system. International Conference on Smart City and Emerging Technology (ICSCET). 2018: 1-4.
Google Scholar
16
-
Kamisetti SNR, Shaligram AD, Sadistap SS. Smart electronic system for pond management in fresh water aquaculture. IEEE Symposium on Industrial Electronics and Applications. 2012: 173-175.
Google Scholar
17
Most read articles by the same author(s)
-
Hasan Mahmud,
Md. Afzalur Rahaman,
Md. Ferdaus Hasan Mazumder Emon,
Tanjil Mahmud Tamim,
IoT Based Online Integrated System to Share Available Parking Space , European Journal of Information Technologies and Computer Science: Vol. 2 No. 6 (2022)