IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support
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Abstract
In response to the burgeoning global demand for seafood and the challenges of managing fish farms, we introduce an innovative IoT-based environmental control system that integrates sensor technology and advanced machine learning decision support. Deploying a network of wireless sensors within the fish farm, we continuously collect real-time data on crucial environmental parameters, including water temperature, pH levels, humidity, and fish behavior. This data undergoes meticulous preprocessing to ensure its reliability, including imputation, outlier detection, feature engineering, and synchronization. At the heart of our system are four distinct machine learning algorithms: Random Forests predict and optimize water temperature and pH levels for the fish, fostering their health and growth; Support Vector Machines (SVMs) function as an early warning system, promptly detecting diseases and parasites in fish; Gradient Boosting Machines (GBMs) dynamically fine-tune the feeding schedule based on real-time environmental conditions, promoting resource efficiency and fish productivity; Neural Networks manage the operation of critical equipment like water pumps and heaters to maintain the desired environmental conditions within the farm. These machine learning algorithms collaboratively make real-time decisions to ensure that the fish farm's environmental conditions align with predefined specifications, leading to improved fish health and productivity while simultaneously reducing resource wastage, thereby contributing to increased profitability and sustainability. This research article showcases the power of data-driven decision support in fish farming, promising to meet the growing demand for seafood while emphasizing environmental responsibility and economic viability, thus revolutionizing the future of fish farming.
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Y. Kim, N. Lee, B. Kim and K. Shin, "Realization of IoT Based Fish Farm Control Using Mobile App," 2018 International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan, 2018, pp. 189-192.
T. Kavya, S. Priyanka and P. P. Oviya, "A Way for Smart Home Technology for Disabled and Elderly People," 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 369-373.
Udhaya Sankar, S.M., Ananya, J., Roshnee, S.A. “IOT-Based Whip-Smart Trash Bin Using LoRa WAN,” Lecture Notes in Networks and Systems, vol 673. Springer, Singapore, 2023.
L. Srinivasan, D. Selvaraj, S. M. Udhaya Sankar, "Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection," SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 8, pp. 9-21, 2023.
M. M. Billah, Z. M. Yusof, K. Kadir, A. M. M. Ali and I. Ahmad, "Quality Maintenance of Fish Farm: Development of Real-time Water Quality Monitoring System," 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), Kuala Lumpur, Malaysia, 2019, pp. 1-4.
G. K. Monica, K. Haritha, K. Kohila and U. Priyadharshini, "MEMS based Sensor Robot for Immobilized Persons," 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), India, 2023, pp. 924-929.
J. Lee, A. Angani, T. Thalluri and K. j. Shin, "Realization of Water Process Control for Smart Fish Farm," 2020 International Conference on Electronics, Information, and Communication (ICEIC), Barcelona, Spain, 2020, pp. 1-5.
S. M. Udhaya Sankar, B. C. Latha, A. E. J. Anns and V. K. Sri, "Dam Management and Disaster Monitoring System using IoT," 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2023, pp. 1197-1201.
S. Saha, R. Hasan Rajib and S. Kabir, "IoT Based Automated Fish Farm Aquaculture Monitoring System," 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 2018, pp. 201-206.
K. Sudharson, B. Alekhya, G. Abinaya, C. Rohini, S. Arthi and D. Dhinakaran, "Efficient Soil Condition Monitoring with IoT Enabled Intelligent Farming Solution," 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science, Bhopal, India, 2023, pp. 1-6.
D. Selvaraj, S. M. Udhaya Sankar, T. P. Anish, "Outsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 1, pp. 53-62, 2023.
S.M. Udhaya Sankar, C. CathrinDeboral, M. Ramakrishnan, "Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET," International Journal of Engineering Trends and Technology, vol. 70, no. 11, pp. 219-231, 2022.
S. M. Udhaya Sankar, N. J. Kumar, S. S. Kamalesh and R. Abenesh, "Machine Learning System For Indolence Perception," 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), Uttarakhand, India, 2023, pp. 55-60.
G. Gomathy, P. Kalaiselvi, D. Selvaraj, A. T. P and D. Arul Kumar, "Automatic Waste Management based on IoT using a Wireless Sensor Network," 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 629-634.
M. R. Khanna, S. P. Panimalar, A. T. P, S. P. Kumar and K. Sudharson, "Secure Android Location Tracking Application with Privacy Enhanced Technique," 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT), 2022, pp. 223-229.
S. Sansri, W. -Y. Hwang and T. Srikhumpa, "Design and Implementaion of Smart Small Aquaponics System," 2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media),Bali, Indonesia, 2019, pp. 323-327.
M. Keerthana, D. Dhinakaran, M. Ananthi, R. Harish, S. M. Udhaya Sankar and M. S. Sree, "IoT Based Automated Irrigation System for Agricultural Activities," 2023 12th International Conference on Advanced Computing (ICoAC), Chennai, India, 2023, pp. 1-6.
M. Harini, D. Dhinakaran, D. Prabhu, S. M. Udhaya Sankar, V. Pooja and P. Kokila Sruthi, "Levarging Blockchain for Transparency in Agriculture Supply Chain Management Using IoT and Machine Learning," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6.
B. G. Sai Aswin, S. Vishnubala, D. Dhinakaran, N. J. Kumar, S. M. Udhaya Sankar and A. M. Mohamed Al Faisal, "A Research on Metaverse and its Application," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6.
M. M. Billah, Z. M. Yusof, K. Kadir, A. M. M. Ali and I. Ahmad, "Quality Maintenance of Fish Farm: Development of Real-time Water Quality Monitoring System," 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), Kuala Lumpur, Malaysia, 2019, pp. 1-4.
K. Y. Kumar, N. J. Kumar, D. Dhinakaran, S. M. Udhaya Sankar, U. J. Kumar and V. Yuvaraj, "Optimized Retrieval of Data from Cloud using Hybridization of Bellstra Algorithm," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6.
L. Srinivasan, D. Selvaraj, T. P. Anish, "IoT-Based Solution for Paraplegic Sufferer to Send Signals to Physician via Internet," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 1, pp. 41-52, 2023.
Joe Prathap P. M, Selvaraj D, Arul Kumar D and Murugeshwari B, "Mining Privacy-Preserving Association Rules based on Parallel Processing in Cloud Computing," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 284-294, 2022.
M. Ahmed, M. O. Rahaman, M. Rahman and M. AbulKashem, "Analyzing the Quality of Water and Predicting the Suitability for Fish Farming based on IoT in the Context of Bangladesh," 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2019, pp. 1-5.
Anish, T.P., Shanmuganathan, C., Dhinakaran, D., Vinoth Kumar, V. (2023). Hybrid Feature Extraction for Analysis of Network System Security—IDS. In: Jain, R., Travieso, C.M., Kumar, S. (eds) Cybersecurity and Evolutionary Data Engineering. ICCEDE 2022. Lecture Notes in Electrical Engineering, vol 1073. Springer, Singapore.
S. M. R. Kumar et al., "IoT Based Fish Pond Monitoring System to Enhance Its Productivity," 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM), Uttar Pradesh, India, 2023, pp. 1-6, doi: 10.1109/ICIPTM57143.2023.10117894.
Abdallah, Waddah & Al-Mutairi, & Kasim, Mousa & Al-Aubidy, Kasim. (2023). IoT-based smart monitoring and management system for fish farming. Bulletin of Electrical Engineering and Informatics. 12. 1435-1446. 10.11591/eei.v12i3.3365.
Chen, Chiung-Hsing, Yi-Chen Wu, Jia-Xiang Zhang, and Ying-Hsiu Chen. 2022. "IoT-Based Fish Farm Water Quality Monitoring System" Sensors 22, no. 17: 6700. https://doi.org/10.3390/s22176700
Guandong Gao, Ke Xiao, Miaomiao Chen, “An intelligent IoT-based control and traceability system to forecast and maintain water quality in freshwater fish farms,” Computers and Electronics in Agriculture, Volume 166, 2019,105013.
Meera Prasad , Selma Majeed, "Cost Effective IoT based Automated Fish Farming System with Flood Prediction," International Journal of Advanced Trends in Computer Science and Engineering, Volume 9, No.1.3, 2020.
Y. Mubarak, D. Nyitamen and A. Na'inna, "Implementation of Microcontroller Based Water Quality Monitoring System for Fish Pond Using Solar Power and Bluetooth Technology," 2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), Abuja, Nigeria, 2021, pp. 1-5, doi: 10.1109/ICMEAS52683.2021.9692392.
S. H. Loh, P. C. Teh, G. Y. Goay and J. J. Sim, "Development of an IoT-based Fish Farm Monitoring System," 2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, 2023, pp. 281-286, doi: 10.1109/ICCSCE58721.2023.10237168.
Y. Kim, N. Lee, B. Kim and K. Shin, "Realization of IoT Based Fish Farm Control Using Mobile App," 2018 International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan, 2018, pp. 189-192, doi: 10.1109/IS3C.2018.00055.
M. Garcia, S. Sendra, G. Lloret, J. Lloret, "Monitoring and control sensor system for fish feeding in marine fish farms," IET Communications, Volume 5, Issue 12, pp. 1682 – 1690. 2011.
M. Abdurohman, A. G. Putrada and M. M. Deris, "A Robust Internet of Things-Based Aquarium Control System Using Decision Tree Regression Algorithm", IEEE Access, vol. 10, pp. 56937-56951, 2022.
W. C. Hu, L. B. Chen, B. K. Huang and H. M. Lin, "A Computer Vision-Based Intelligent Fish Feeding System Using Deep Learning Techniques for Aquaculture", IEEE Sens. J, vol. 22, no. 7, pp. 7185-7194, 2022.
R. K. Kodali and A. C. Sabu, "Aqua Monitoring System using AWS", 2022 Int. Conf. Comput. Commun. Informatics ICCCI, no. Ml, 2022, 2022.
P. Veeralakshmi, S. Sowmya, K. N. Kannan, S. Anbu and G. Ayyappan, "An efficient and smart IoT based pisciculture for developing countries", AIP Conf. Proc, vol. 2393, no. May, 2022.
K. K. Rohan, O. Roria, C. G. Raghavendra, S. S. Awanti, C. Shruthishree and S. Chakravorty, "Determining Water Quality for Productivity in Aquaculture using Information and Communication Technologies", IEEE Int. Conf. Distrib. Comput. Electr. Circuits Electron. ICDCECE, 2022, 2022.
K. S., S. T.V., M. S. Kumaraswamy and V. Nair, "IoT based Water Parameter Monitoring System," 2020 5th International Conference on Communication and Electronics Systems (ICCES), India, 2020.
Dhinakaran, D., Selvaraj, D., Udhaya Sankar, S.M., Pavithra, S., Boomika, R. (2023). Assistive System for the Blind with Voice Output Based on Optical Character Recognition, Lecture Notes in Networks and Systems, vol 492. Springer, Singapore.
Monisha Ramakrishna Prabha; Thenmozhi Renganathan; Premkumar Mohan; Selvaraj Damodaran; Elumalai Govindarajan; Dhinakaran Damodaran, “Need for 6G: A survey,”AIPConference Proceedings 2790, 020072 (2023).
Jena Catherine Bel D, Esther C, Zionna Sen G B,Tamizhmalar D, Anish T. P,"Trustworthy Cloud Storage Data Protection based on Blockchain Technology," 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 538-543.
D. A. Kumar, S. Dinesh, D. Selvaraj, and K. Srikanth, Recommendation System for Research Studies Based on GCR, 2022 International Mobile and Embedded Technology Conference (MECON), Noida, India, (2022) 61-65.
S. Gopalakrishnan and M. Senthil Kumaran, "IIOT framework based ML model to improve automobile industry product," Intelligent Automation & Soft Computing, vol. 31, no.3, pp. 1435–1449, 2022.
A. Martelli, F. Altobelli, A. Dalla Marta and M. Ciarletti, "Ploovium: a decision support system for increasing water use efficiency of irrigated crops," 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Trento, Italy, 2020.
S. Gopalakrishnan, Md Zair Hussain,Mohd Ashraf, G. Senthilkumar, Mantripragada” Secured Accessibility of Business Data at Anywhere Using Blockchain Technology” Sensors, Volume 27, June 2023, 100798.
P. Jariyayothin, K. Jeravong-aram, N. Ratanachaijaroen, T. Tantidham and P. Intakot, "IoT Backyard: Smart Watering Control System," 2018 Seventh ICT International Student Project Conference (ICT-ISPC), Nakhonpathom, Thailand, 2018.