IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2
Abstract
Cultivation of tiger prawns stands as a crucial sector in Indonesia's fisheries industry, significantly contributing to the country's foreign exchange. However, challenges persist in the cultivation process, particularly concerning suboptimal harvest outcomes. A critical factor in tiger prawn cultivation is the water temperature within shrimp ponds, a parameter directly influencing shrimp growth. The recommended normal temperature range is 28-31°C. Deviations from this range can adversely impact the shrimp's metabolic system and appetite, resulting in stress and potential mortality. Temperature fluctuations can lead to severe issues such as hindered growth, reduced productivity, and increased shrimp mortality. Real-time monitoring of air temperature emerges as a pivotal element in ensuring the success of shrimp farming. This research aims to provide a practical solution for shrimp cultivation by presenting a system that enables farmers to adjust air temperature in ponds in real-time through a user-friendly website application. The ability to promptly respond to abnormal temperature fluctuations empowers farmers to optimize cultivation conditions, thereby reducing shrimp mortality rates. The research focuses on creating a water temperature monitoring system for tiger prawn ponds using cloud storage through the Firebase platform. By implementing real-time temperature monitoring, financial risks for shrimp farmers can be mitigated, preventing losses attributed to temperature-induced shrimp mortality. The research utilizes the DS18B20 temperature sensor and WeMos D1 R2 as the control center. The website displays air temperature measurements, showcasing a high accuracy of 99% with a minimal error of 1.2%. This underscores the system's effectiveness in measuring air temperature both above and below the pond. The incorporation of IoT technology for monitoring water quality in ponds offers a practical and innovative approach to tiger prawn cultivation, with the potential to enhance production outcomes in each harvest.
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M. H. Fattah and S. Rahbiah, “Developing detoxification and purification technologies of ponds with pesticide residue for organic tiger shrimp farming development,” Earth Environ. Sci., vol. 260, no. 1, 2019, doi: 10.1088/1755-1315/260/1/012106.
A. Mustafa and E. Ratnawati, "Dominant factors that effect on the productivity of brackishwater ponds in Pinrang Regency, South Sulawesi," Jurnal Riset Akuakultur, vol. 2, no. 1, pp. 117-133, 2007.
M. H. Fattah, S. R. Busaeri, and A. Munandar, “Survival Rate and Quality of Phronima Suppa (Phronima sp) Zoea with the Cryptobiosis Application,” Earth Environ. Sci., vol. 391, no. 1, 2019, doi: 10.1088/1755-1315/391/1/012076.
M. H. Fattah, S. Rahbiah, B. Modding, and S. Marhamah, “Feasibility and vulnerability of the preserved shrimp eco-farming park of Pinrang district,” AACL Bioflux, vol. 13, no. 6, pp. 3626–3636, 2020.
Y. R. Alfiansah, J. Harder, M. J. Slater, and A. Gärdes, “Addition of Molasses Ameliorates Water and Bio-Floc Quality in Shrimp Pond Water,” Trop. Life Sci. Res., vol. 33, no. 1, pp. 121–141, 2022, doi: 10.21315/tlsr2022.33.1.8.
N. Wannee and T. Samanchuen, "A Flexible Water Monitoring System for Pond Aquaculture," 2022 International Conference on Digital Government Technology and Innovation (DGTi-CON), pp. 91-95, 2022, doi: 10.1109/DGTi-CON53875.2022.9849186.
V. A. Wardhany, H. Yuliandoko, - Subono, M. U. Harun A, and I. G. P. Astawa, “Smart System and Monitoring of Vanammei Shrimp Ponds,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 4, p. 1366, 2021, doi: 10.18517/ijaseit.11.4.8557.
T. D. Chuyen, D. D. Nguyen, N. C. Cuong, and V. V. Thong, “Design and manufacture control system for water quality based on IoT technology for aquaculture in the Vietnam,” Bull. Electr. Eng. Informatics, vol. 12, no. 4, pp. 1893–1900, 2023, doi: 10.11591/eei.v12i4.5180.
H. F. Hawari and M. A. Hazwan, "Development of Iot Monitoring System For Aquaculture Application," 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 330-334, 2022, doi: 10.1109/GECOST55694.2022.10010661.
M. I. Bachtiar, R. Hidayat, and R. Anantama, “Internet of Things (IoT) Based Aquaculture Monitoring System,” MATEC Web, vol. 372, 2022, doi: 10.1051/matecconf/202237204009.
T. J. Alam, A. A. S. Bin Hayder, A. F. Apu, M. H. Al Banna, and M. Sazzadur Rahman, “IoT Based Biofloc Aquaculture Monitoring System,” In Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022, pp. 99-112, 2023, doi: 10.1007/978-981-19-9483-8_9.
G. R. Kanagachidambaresan, “IoT-Based Shrimp Farming,” In Internet of Things Using Single Board Computers: Principles of IoT and Python Programming, pp. 265-279, 2022, doi: 10.1007/978-1-4842-8108-6_10.
K. Wójcicki, M. Biegańska, B. Paliwoda, and J. Górna, “Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities-A Review,” Energies, vol. 15, no. 5, p. 1806, 2022, doi: 10.3390/en15051806.
S. Budijono and Felita, “Smart Temperature Monitoring System Using ESP32 and DS18B20,” in Earth and Environmental Science, vol. 794, no. 1, 2021, doi: 10.1088/1755-1315/794/1/012125.
M. Komarudin, H. D. Septama, T. Yulianti, A. Yudamson, J. Hendri, and M. A. D. Arafat, “Multi node sensors for water quality monitoring towards precision aquaculture,” in Earth and Environmental Science, vol. 739, no. 1, 2021, doi: 10.1088/1755-1315/739/1/012026.
Z. Zhang et al., “Development of remote monitoring system for aquaculture water quality based on Internet of Things,” in Materials Science and Engineering, vol. 768, no. 5, 2020, doi: 10.1088/1757-899X/768/5/052033.
C. J. Den Ouden, P. S. Wills, L. Lopes, J. Sanderson, and B. Ouyang, “Evolution of the Hybrid Aerial Underwater Robotic System (HAUCS) for Aquaculture: Sensor Payload and Extension Development,” Vehicles, vol. 4, no. 2, pp. 390–408, 2022, doi: 10.3390/vehicles4020023.
L. V. Q. Danh, D. V. M. Dung, T. H. Danh, and N. C. Ngon, “Design and Deployment of an IoT-Based Water Quality Monitoring System for Aquaculture in Mekong Delta,” Int. J. Mech. Eng. Robot. Res., pp. 1170–1175, 2020, doi: 10.18178/ijmerr.9.8.1170-1175.
Z. Shareef and S. R. N. Reddy, “Design and Development of IoT-Based Framework for Indian Aquaculture,” in Intelligent Communication, Control and Devices, pp. 195–201, 2020.
F. Liu and P. Wang, “Aquaculture environment monitoring system based on Internet of Things,” In Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), vol. 12586, pp. 202-207, 2023, doi: 10.1117/12.2668766.short.
M. F. Taha et al., “Recent Advances of Smart Systems and Internet of Things (IoT) for Aquaponics Automation: A Comprehensive Overview,” Chemosensors, vol. 10, no. 8, p. 303, 2022, doi: 10.3390/chemosensors10080303.
F. O’Donncha and J. Grant, “Precision Aquaculture,” IEEE Internet Things Mag., vol. 2, no. 4, pp. 26–30, 2019, doi: 10.1109/IOTM.0001.1900033.
C.-H. Chen, Y.-C. Wu, J.-X. Zhang, and Y.-H. Chen, “IoT-Based Fish Farm Water Quality Monitoring System,” Sensors, vol. 22, no. 17, 2022, doi: 10.3390/s22176700.
W. J. Hong et al., “Water quality monitoring with arduino based sensors,” Environ., vol. 8, no. 1, pp. 1–15, 2021, doi: 10.3390/environments8010006.
M. I. Dzulqornain, M. U. H. Al Rasyid, and S. Sukaridhoto, “Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration,” MATEC, vol. 164, 2018, doi: 10.1051/matecconf/201816401030.
M. Niswar et al., “IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming,” in 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), pp. 6–9, 2018, doi: 10.1109/IOTAIS.2018.8600828.
B. J. Kim and K. J. Shin, “Development of Smart Fish Farming System Based on IoT Using Wasted Warm Water Energy,” J. Inst. Control. Robot. Syst., vol. 24, no. 2, pp. 155–163, 2018, doi: 10.5302/J.ICROS.2018.17.0214.
Z. Zhang, W. Mao, C. Li, D. Wang, Y. Zhang, and Q. Liu, “The design and software development of remote monitoring system for aerator,” Mater. Sci. Eng., vol. 768, no. 5, 2020, doi: 10.1088/1757-899X/768/5/052104.
N. A. Ubina et al., “Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT),” Smart Agric. Technol., vol. 5, p. 100285, 2023, doi: 10.1016/j.atech.2023.100285.
H. Li, “Aquiculture remote monitoring system based on IoT Android platform,” Nongye Gongcheng Xuebao/Transactions Chinese Soc. Agric. Eng., vol. 29, no. 13, pp. 175–181, 2013, doi: 10.3969/j.issn.1002-6819.2013.13.023.
M. S. Munir, I. S. Bajwa, and S. M. Cheema, “An intelligent and secure smart watering system using fuzzy logic and blockchain,” Comput. Electr. Eng., vol. 77, pp. 109–119, 2019, doi: 10.1016/j.compeleceng.2019.05.006.
R. K. Jain, B. Gupta, M. Ansari, and P. P. Ray, "IOT Enabled Smart Drip Irrigation System Using Web/Android Applications," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-6, 2020, doi: 10.1109/ICCCNT49239.2020.9225345.
P. S. Sneha and V. S. Rakesh, "Automatic monitoring and control of shrimp aquaculture and paddy field based on embedded system and IoT," 2017 International Conference on Inventive Computing and Informatics (ICICI), pp. 1085-1089, 2017, doi: 10.1109/ICICI.2017.8365307.
I. M. Hakimi and Z. Jamil, “Development of Water Quality Monitoring Device Using Arduino UNO,” in Materials Science and Engineering, vol. 1144, no. 1, 2021, doi: 10.1088/1757-899x/1144/1/012064.
R. Quintero, J. Parra, and F. Felix, “Water quality assurance in aquaculture ponds using Machine Learning and IoT techniques,” in 2022 IEEE Mexican International Conference on Computer Science (ENC), pp. 1–6, 2022, doi: 10.1109/ENC56672.2022.9882920.
A. Mauliddin, “Design of Monitoring of Water Temperature and pH of Vaname Shrimp Hatchery Ponds Based on Android,” J. Jartel J. Jar. Telekomun., vol. 6, no. 1, pp. 9–16, 2018, doi: 10.33795/jartel.v6i1.129.
B. Shi, V. Sreeram, D. Zhao, S. Duan, and J. Jiang, “A wireless sensor network-based monitoring system for freshwater fishpond aquaculture,” Biosyst. Eng., vol. 172, pp. 57–66, 2018, doi: 10.1016/j.biosystemseng.2018.05.016.
L. Shu and X. Wen, “An aquaculture monitoring system based on NB-IoT,” in 2021 33rd Chinese Control and Decision Conference (CCDC), pp. 5620–5624, 2021, doi: 10.1109/CCDC52312.2021.9601877.
B. Ngom, M. Diallo, B. Gueye, and N. Marilleau, “LoRa-based Measurement Station for Water Quality Monitoring: Case of Botanical Garden Pool,” in SAS, pp. 1–4, 2019, doi: 10.1109/SAS.2019.8705986.
D. Sousa, D. Hernandez, F. Oliveira, M. Luís, and S. Sargento, “A Platform of Unmanned Surface Vehicle Swarms for Real Time Monitoring in Aquaculture Environments,” Sensors, vol. 19, no. 21, 2019, doi: 10.3390/s19214695.
I. K. A. Enriko, F. N. Gustiyana, M. Misbahuddin, and I. G. B. Astawa, "Implementation of Temperature and Humidity Monitoring System Using LoRaWAN for Pharmaceutical Industry," In First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science)(MIMSE-IC-2022), pp. 234-244, 2022.
R. Adriman, M. Fitria, A. Afdhal, and A. Y. Fernanda, “An IoT-Based System for Water Quality Monitoring and Notification System of Aquaculture Prawn Pond,” in COMNETSAT, pp. 356–360, 2022, doi: 10.1109/COMNETSAT56033.2022.9994388.
M. Dharmawan, L. D. Sari, J. P. Gunawan, E. Antriyandarti, and A. Duong, “Gazebo Semar: An Android-based Farmer Education Platform for Agricultural Waste Management,” J. Ilm. Tek. Elektro Komput. dan Inform., vol. 9, no. 1, pp. 174–184, 2023, doi: 10.26555/jiteki.v9i1.25757.
E. P. Harahap, M. A. Ngadi, U. Rahardja, F. R. Azhari, and K. Zelina, “Internet of things based humidity control and monitoring system,” ILKOM Jurnal Ilmiah, vol. 13, no. 2, pp. 175–186, 2021, doi: 10.33096/ilkom.v13i2.852.175-186.
G. V. R. Kameshwar Rao, T. J. Dhivya Shrilaa, I. Akash, and G. Gugapriya, “Aquaculture Monitoring System Using Internet of Things,” in Intelligent Cyber Physical Systems and Internet of Things, pp. 11–29, 2023.
P. Sun and Y. Chen, "Aquiculture Remote Monitoring System Based on Internet of Things," 2019 International Conference on Robots & Intelligent System (ICRIS), pp. 187-190, 2019, doi: 10.1109/ICRIS.2019.00056.
S. Saha, R. Hasan Rajib, and S. Kabir, “IoT Based Automated Fish Farm Aquaculture Monitoring System,” in 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), pp. 201–206, 2018, doi: 10.1109/ICISET.2018.8745543.
K. S. Niraja, “Survey on internet of things based prototype design for aquaculture using machine learning,” in 6th Smart Cities Symposium (SCS 2022), pp. 132–135, 2022, doi: 10.1049/icp.2023.0363.
Z. Zhang et al., “Development of remote monitoring system for aquaculture water quality based on Internet of Things,” in Materials Science and Engineering, vol. 768, no. 5, 2020, doi: 10.1088/1757-899X/768/5/052033.
K.-L. T. Kun-Lin Tsai, L.-W. C. Kun-Lin Tsai, L.-J. Y. Li-Woei Chen, H.-J. S. Li-Jun Yang, and H.-W. C. Hung-Jr Shiu, “IoT based Smart Aquaculture System with Automatic Aerating and Water Quality Monitoring,” J. Internet Technol., vol. 23, no. 1, pp. 179–186, 2022, doi: 10.53106/160792642022012301018.
U. Acar et al., “Designing An IoT Cloud Solution for Aquaculture,” in 2019 Global IoT Summit (GIoTS), pp. 1–6, 2019, doi: 10.1109/GIOTS.2019.8766428.
Y. Irawan, H. Fonda, E. Sabna, and A. Febriani, “Intelligent Quality Control of Shrimp Aquaculture Based On Real-Time System and IoT Using Mobile Device,” Int. J. Eng. Trends Technol., vol. 69, no. 4, pp. 49–56, 2021, doi: 10.14445/22315381/IJETT-V69I4P208.
J.-Y. Lin, H.-L. Tsai, and W.-H. Lyu, “An Integrated Wireless Multi-Sensor System for Monitoring the Water Quality of Aquaculture,” Sensors, vol. 21, no. 24, 2021, doi: 10.3390/s21248179.
H. Zhang and F. Gui, “The Application and Research of New Digital Technology in Marine Aquaculture,” J. Mar. Sci. Eng., vol. 11, no. 2, 2023.
A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Commun. Surv. Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015, doi: 10.1109/COMST.2015.2444095.
A. Malik and H. Om, “Cloud Computing and Internet of Things Integration: Architecture, Applications, Issues, and Challenges,” in Sustainable Cloud and Energy Services, pp. 1–24, 2018.
S. K. N. El-deen, H. Elborai, H. E. M. Sayour, and A. Yahia, “Wireless Sensor Network Based Solution for Water Quality Real-Time Monitoring,” Egypt. J. Solids, vol. 41, no. 1, pp. 49–62, 2018, doi: 10.21608/ejs.2018.148253.
Junaidi et al., “Measurement of Physical Parameters of Water Quality in Real-Time Based on Arduino,” in Journal of Physics, vol. 1751, no. 1, 2021, doi: 10.1088/1742-6596/1751/1/012067.
I. M. Hakimi and Z. Jamil, “Development of Water Quality Monitoring Device Using Arduino UNO,” Mater. Sci. Eng., vol. 1144, no. 1, 2021, doi: 10.1088/1757-899X/1144/1/012064.
D. Paz, H. Bedon, and E. Saettone, “Design of a water quality monitoring station for use in precision aquaculture with IoT technology,” Turkish Online J. Qual. Inq., vol. 12, no. 7, pp. 13147–13153, 2021.
H. R. Fajrin, M. R. Ilahi, B. S. Handoko, and I. P. Sari, “Body temperature monitoring based on telemedicine,” J. Phys. Conf. Ser., vol. 1381, no. 1, 2019, doi: 10.1088/1742-6596/1381/1/012014.
R. A. Koestoer, Y. A. Saleh, I. Roihan, and Harinaldi, “A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system,” in AIP Conference Proceedings, vol. 2062, 2019, doi: 10.1063/1.5086553.
X. Zhao, W. Li, L. Zhou, G. B. Song, Q. Ba, and J. Ou, “Active thermometry based DS18B20 temperature sensor network for offshore pipeline scour monitoring using K -means clustering algorithm,” Int. J. Distrib. Sens. Networks, vol. 9, no. 6, p. 852090, 2013, doi: 10.1155/2013/852090.
Sujito et al., “Water Quality Monitoring System in Guorami Fish Cultivation Based on Microcontroller,” Proc. 4th Forum Res. Sci. Technol., vol. 7, pp. 119–122, 2021, doi: 10.2991/ahe.k.210205.022.
W. Boonsong, “Embedded Wireless Dissolved Oxygen Monitoring Based on Internet of Things Platform,” J. Commun., pp. 363–368, 2021, doi: 10.12720/jcm.16.9.363-368.
H. F. Hawari and M. A. Hazwan, “Development of Iot Monitoring System for Aquaculture Application,” 2022 Int. Conf. Green Energy, Comput. Sustain. Technol. GECOST 2022, pp. 330–334, 2022, doi: 10.1109/GECOST55694.2022.10010661.
B. Siswanto, Y. Dani, D. Morika, and B. Mardiyana, “A simple dataset of water quality on aquaponic fish ponds based on an internet of things measurement device,” Data in Brief, vol. 48, p. 109248, 2023, doi: 10.1016/j.dib.2023.109248.
A. K. M. Masum, “Implementation of Internet of Things (IoT)-based Aquaculture System Using Machine Learning Approaches,” Comput. Sci. J. Mold., vol. 29, no. 3, pp. 320–329, 2021.
P. V. Kumar, “Aquaculture monitoring system using machine learning,” ARPN J. Eng. Appl. Sci., vol. 18, no. 14, pp. 1700–1706, 2023, doi: 10.59018/0723211.
S. Zakaria et al., “Nature Driven IoT Based Automation of Aquaponic System,” in Lecture Notes in Mechanical Engineering, pp. 555–562, 2021.
G. Long, "Design of an aquaculture detection system based on internet of things," Int. J. Simul. Syst. Sci. Technol., vol. 17, no. 31, 2016.
G. Y. Sriram and N. B. Sai Shibu, “Design and Implementation of Automated Aquaponic System with Real-time Remote Monitoring,” in 2021 Advanced Communication Technologies and Signal Processing (ACTS), pp. 1–6, 2021, doi: 10.1109/ACTS53447.2021.9708396.
W. Boonsong, “Embedded Wireless Dissolved Oxygen Monitoring Based on Internet of Things Platform,” J. Commun., vol. 16, no. 9, pp. 363–368, 2021, doi: 10.12720/jcm.16.9.363-368.
M. K. A. Chy, A. K. M. Masum, M. E. Hossain, M. G. R. Alam, S. I. Khan, and M. S. Alam, “A Low-Cost Ideal Fish Farm Using IoT: In the Context of Bangladesh Aquaculture System,” in Lecture Notes in Networks and Systems, vol. 89, 2020, pp. 1273–1283.
J. Duangwongsa, T. Ungsethaphand, P. Akaboot, S. Khamjai, and S. Unankard, “Real-time Water Quality Monitoring and Notification System for Aquaculture,” in Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering, pp. 9–13, 2021, doi: 10.1109/ECTIDAMTNCON51128.2021.9425744.
A. K. M. Masum, M. Shahin, M. K. A. Chy, S. I. Khan, A. Shan-A-Alahi, and M. G. R. Alam, “Design and Implementation of IoT based Ideal Fish Farm in the Context of Bangladesh Aquaculture System,” in ICASERT, pp. 1–6, 2019, doi: 10.1109/ICASERT.2019.8934736.
S. A. Hashmi, C. F. Ali, and S. Zafar, “Internet of things and cloud computing‐based energy management system for demand side management in smart grid,” Int. J. Energy Res., vol. 45, no. 1, pp. 1007–1022, 2021, doi: 10.1002/er.6141.
N. Ismail et al., “Smart irrigation system based on internet of things (IoT),” in Journal of Physics, vol. 1339, no. 1, p. 012012, 2019, doi: 10.1088/1742-6596/1339/1/012012.
A. K. Sharma and L. M. Saini, “IoT based Diagnosing Myocardial Infarction through Firebase Web Application,” in 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 190–195, 2019, doi: 10.1109/ICECA.2019.8822150.
D. P. Alamsyah, Y. Ramdhani, S. R. Rhamadhan, and L. Susanti, “Application of IoT and Cloud Storage in Android-Based Smart Home Technology,” in 2021 7th International HCI and UX Conference in Indonesia (CHIuXiD), pp. 33–38, 2021, doi: 10.1109/CHIuXiD54398.2021.9650605.
W.-T. Sung, I. G. T. Isa, and S.-J. Hsiao, “An IoT-Based Aquaculture Monitoring System Using Firebase,” Comput. Mater. Contin., vol. 76, no. 2, pp. 2179–2200, 2023, doi: 10.32604/cmc.2023.041022.
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