Authors: Mr. Palash Gade, Mr. Mayur Vaidya, Mr. Devashish Jaiswal, Mr. Akhilesh Titarmare, Prof. Rahul Bambodkar
DOI Link: https://doi.org/10.22214/ijraset.2023.56604
Certificate: View Certificate
The world\'s need for seafood is largely met by aquaculture, which calls for improvements in farming practises. In this paper, an Internet of Things (IoT)-powered Automatic Fish Feeder (AFF) system is presented. To collect data in real time, the AFF system makes use of a variety of sensors, such as those that measure ambient factors, fish activity, and water quality. Fish farmers are able to remotely monitor the conditions of the aquatic environment thanks to the processing and wireless transmission of this data by microcontrollers. Farmers may plan and modify feeding schedules, amounts, and feed mixes according to the individual requirements of the fish species using an easy-to-use mobile application. By analysing the gathered data, the system\'s clever algorithms optimise feeding schedules, guaranteeing that fish get the right nutrition while reducing feed waste. Moreover, by minimising overfeeding—which can result in water contamination and ecological imbalances—the AFF system fosters sustainability. This study shows how IoT technology may be successfully incorporated into aquaculture operations to improve production, save operating costs, and encourage environmental stewardship. The results of this study offer significant insights for the aquaculture sector, opening the door for the global adoption of IoT-based technologies to enhance fish farming methods.
I. INTRODUCTION
The blending of technology and aquaculture has produced ground-breaking solutions in the age of IoT innovation. Through the creation of an automated fish feeder using IoT, this research investigates the field of smart fish farming. This device transforms conventional feeding practices by utilizing the strength of internet connectivity and sophisticated sensors. It makes sure that feeding plans are exact, on time, and flexible, enhancing aquatic health and encouraging sustainable practices This design serves as an example of how IoT may alter fish farming by providing effective solutions and fostering a future that is more interconnected and environmentally conscientious.
The IoT-based Automatic Fish Feeder offers an inventive and effective way to handle the difficulties associated with fish feeding, as hobbyists, aquarium enthusiasts, and even commercial fish farms work to give their aquatic friends the finest care and nourishment possible. Create a simple user interface that allows for simple setting and monitoring. This will ensure user-friendly interaction and seamless integration into current fish farming setups.
II. LITERATURE REVIEW
The literature here shows how IoT technology is becoming more and more significant when it comes to automated fish feeders in aquaculture. The productivity and sustainability of fish farming operations are improved by IoT-based systems' remote monitoring and control, data-driven decision-making capabilities, and integration with environmental sensors. However, in order for adoption and acceptance within the industry to be more widespread, issues pertaining to data security and system stability must be resolved. IoT-enabled automatic fish feeders are expected to become more and more essential to contemporary aquaculture techniques as the technology develops.
It is anticipated that additional study and advancement in this field will produce even more creative approaches to sustainable fish farming. IoT-based automatic fish feeders have drawbacks despite their apparent advantages. These include worries about data security, system dependability, and implementation costs up front. It is crucial to protect the security and privacy of the data that is gathered because a breach might have serious repercussions for the aquaculture sector as well as fish farmers. The aquaculture sector is expanding quickly, yet it still has issues with resource optimization, feed management, and water quality monitoring. The incorporation of IoT technology in aquaculture presents encouraging resolutions to these obstacles. Real-time data is collected and transmitted via Internet of Things (IoT) devices, such as actuators and sensors, to allow for remote control and monitoring of aquaculture systems, including automatic fish feeders.
III. RESEARCH GAP
When it comes to real-time behaviour analysis, energy-efficient solutions, user-centric interfaces, environmental effect assessment, affordability, long-term reliability, and comprehensive investigations, there are a lot of unanswered questions in the field of automatic fish feeders employing IoT technology.
IV. PROBLEM STATEMENT
When a fish owner is away from home or has a hectic schedule, it can be difficult to manage the feeding and care of their fish.The outdated and uneven ways that fish are traditionally fed result in waste, overfeeding, and damaged aquatic health.Manual feeding plans are susceptible to mistakes made by humans and changes in the environment. There is no original strategy that can guarantee accurate, adaptable, and long-lasting feeding operations. The lack of real-time data limits the industry's capacity to make informed judgments on feeding techniques, environmental adjustments, and overall aquaculture management
V. METHODOLOGY
A. Steps
3. Setup of Hardware
4. Programming
5. Internet of Things Connectivity
6. Testing and Optimization
7. Benefits
8. Drawback
9. Future Scope
In conclusion, The Automated Fish Feeder, which applies IoT technology to fish farming, is a shining example of aquaculture innovation.It converts conventional techniques into effective, long-lasting, and flexible solutions by ensuring exact feeding schedules, remote monitoring, and data-driven decision-making. this design not only improves the wellbeing of aquatic life, but it also lays the way for a time when intelligent technology works in harmony with nature, changing the way that fish farming is done.
[1] T. E. Suherman, M. H. Widianto and Z. Athalia, “Internet of Things System for Freshwater Fish Aquarium Monitoring and Automation Using Iterative Waterfall,” 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), pp. 1-6, 2022. [2] R. Mahkeswaran and A. K. Ng, “Smart and Sustainable Home Aquaponics System with Feature-Rich Internet of Things Mobile Application,” in 2020 6th International Conference on Control, Automation and Robotics, ICCAR 2020, pp. 607–611, 2020. [3] M. J. M. Autos et al., “Automated aquaponics system and water quality monitoring with SMS notification for tilapia industry,” in IEEE Region 10 Annual International Conference, Proceedings (TENCON), pp. 367–372, 2020. [4] R. Aisuwarya and E. F. Suhendra, “Development of Automatic Fish Feeding System based on Gasping Behavior,” in 2018 International Conference on Information Technology Systems and Innovation (ICITSI), pp. 470–473, 2018. [5] H. Kuroki, H. Ikeoka and K. Isawa, “Development of simulator for efficient aquaculture of Sillago japonica using reinforcement learning,” in Proceedings of International Conference on Image Processing and Robotics, ICIPRoB 2020, pp. 1-4, 2020, https://doi.org/10.1109/ICIP48927.2020.9367369
Copyright © 2023 Mr. Palash Gade, Mr. Mayur Vaidya, Mr. Devashish Jaiswal, Mr. Akhilesh Titarmare, Prof. Rahul Bambodkar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET56604
Publish Date : 2023-11-09
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here