Automated Fish Feeder Using Scheduler Mobile Application

Varry Alampayan Morial *

Rymorj Computer Shop, Tolingon Mainit, Surigao del Norte, Philippines.

*Author to whom correspondence should be addressed.


Abstract

Today's fish feeder technology is a device dedicated to reducing labor costs and creating a better feed dispensing system in local fish farming productions. In this study, a newly developed automated fish feeder using a mobile scheduler application is designed and implemented specifically for Milkfish (Chanos Chanos) production. The development consists of four phases; online research, system design, purchase of materials, and construction. Two types of testing were conducted to evaluate this technology, including a functionality test and a technology acceptance test. The functionality test of the technology was tested using experimental analysis, which uses simulation to test the functionality of the developed system. Seven (7) trials tested the automated fish feeder using the mobile scheduler application for seven days. The study shows that this device was consistent in dispensing 0.43 Kilograms of feeds for one feeding schedule and 0.86 Kg for two feeding schedules, based on the total kilograms put in the system. There were ten respondents that participated in the technology acceptance test. From this test, the mean score values for all items such as availability, aesthetics, and performance were found to be more than 3.7 (using a 5-point Likert scale), which means that the automated fish feeder using the mobile scheduler application is very acceptable according to the technology acceptance test. The developed automated fish feeder using the mobile scheduler application will help the farmers remotely feed fish without hassle and optimize the quantity of feeds for the milkfish.

Keywords: Wifi, GSM, smartphone, milkfish, fishpond


How to Cite

Morial , V. A. (2024). Automated Fish Feeder Using Scheduler Mobile Application. Advances in Research, 25(2), 1–16. https://doi.org/10.9734/air/2024/v25i21028

Downloads

Download data is not yet available.

References

Naylor R, Goldburg R, Primavera J, Nature NK. Undefined effect of aquaculture on world fish supplies, nature.com; 2000.

City I, Perspectives in aquaculture development in Southeast Asia and Japan : Proceedings of the Seminar on Aquaculture Development in Southeast. 1987;8–12,

The importance of fisheries and aquaculture to development.

Lester SE, Gentry RR, Kappel CV, White C, Gaines SD. Offshore aquaculture in the United States: Untapped potential in need of smart policy, Proc. Natl. Acad. Sci. U. S. A. 2018’115(28):7162–7165. DOI:10.1073/PNAS.1808737115/ASSET/65404163-FE62-4FF6-9B15-E3C60C11EC37/ ASSETS/PNAS.1808737115.FP.PNG.

Islam R, Islam R. T. M.-I. J. of E., and undefined Mobile application and its global impact, Citeseer; 2010.

Bomhold CR. Educational use of smart phone technology: A survey of mobile phone application use by undergraduate university students, Program. 2013;47;4:424–436. DOI:10.1108/PROG-01-2013-0003/FULL/ XML.

Demirkan H, Bess C, Spohrer J. A. R.-C. of, and undefined 2015, Innovations with smart service systems: analytics, big data, cognitive assistance, and the internet of everything, aisel.aisnet.org. 2015;37:35. DOI: 10.17705/1CAIS.03735.

Pitt L, Parent M, Junglas I. A. C.-T. J. of S., and undefined, Integrating the smartphone into a sound environmental information systems strategy: Principles, practices and a research agenda, Elsevier; 2011.

Buhalis D, Connor PO. Information communication technology revolutionizing tourism, Tour. Recreat. Res. 2005;30(3)7–16. DOI: 10.1080/02508281.2005.11081482

Ylaya, Vrian. Experimental analysis using free space measurement for rapid and nondestructive moisture sensing in tropical almond fruit (Terminalia Catappa L.). International Journal of Emerging Trends in Engineering Research. 8. 2020;3546-3552. DOI: 10.30534/ijeter/2020/108872020

Bauer L, Cranor LF, Reiter MK, Vaniea K. Lessons learned from the deployment of a smartphone-based access-control system, ACM Int. Conf. Proceeding Ser. 2007; 229:64–75. DOI: 10.1145/1280680.1280689

Ylaya VJV, Malicay LG. Assessment of energy savings potentials at University in Lanao del Norte, Philippines; 2022.

Ylaya V. School Level Information System (IS) Discontinuance Intention: A case study on Information System (IS) Discontinuance of Surigao State College of Technology SSCT. Intelligent Information Management. 2020;12:121-130. DOI: 10.4236/iim.2020.124009

Wang C, Li Z, Wang T, Xu X, Zhang X, Li D. Intelligent fish farm—the future of aquaculture, Aquac. Int. 2021;29(6):2681–2711. DOI: 10.1007/S10499-021-00773-8

Banhazi T, Lehr H, Black J. … H. C.-… of A. and, and undefined, Precision livestock farming: an international review of scientific and commercial aspects, abepublishing. org; 2012. Available:https://www.abepublishing.org/~abepubli/journals/index.php/ijabe/article/view/599 Accessed on: Jan. 24, 2024. [Online].

Hang L, Ullah I, D. K.-C. and E. in Agriculture, and undefined. A secure fish farm platform based on blockchain for agriculture data integrity, Elsevier; 2020, Available:https://www.sciencedirect.com/science/article/pii/S016816991932006X Accessed on: Jan. 24, 2024. [Online].

Gamboa, Gregorio & Morite, Analyn & Bacarro, Robert & Plando, Rowena & Ylaya, Vrian & Serna, John. (2023). Ricefield Health Monitoring System Using A Drone With Ai Interface. 2023:181-184.

Chui M, Manyika J, Miremadi M. Where machines could replace humans-and where they can’t (yet); 2016. Available:http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/2951/1/Where-machines-could-replace-humans-and-where-they-cant-yet.pdf Accessed: Jan. 24, 2024. [Online].

Wolfert S, Ge L, Verdouw C. M. B.-A. systems, and undefined Big data in smart farming–a review, Elsevier; 2017. Available:https://www.sciencedirect.com/science/article/pii/S0308521X16303754 Accessed on: Jan. 24, 2024. [Online].

Pongcol, Daryl & Gerasta, Olga Joy & Macasero, Jesrey Martin & Ylaya, Vrian Jay & Pandian, Najie & Caberos, ai. Dual Continuous Wave Radar for Ground Object Detection in GNU-Radio with USRP. 2019;1-6. DOI:10.1109/HNICEM48295.2019.9073553.

Boyd CE et al., Achieving sustainable aquaculture: Historical and current perspectives and future needs and challenges, Wiley Online Libr. 2020;51(3): 578–633. DOI: 10.1111/jwas.12714

Brudeseth B, Wiulsrød R. … B. F.-F. & shellfish, and undefined 2013, Status and future perspectives of vaccines for industrialised fin-fish farming, Elsevier. Available:https://www.sciencedirect.com/science/article/pii/S1050464813005974. Accessed: Jan. 24, 2024. [Online].

Bregnballe J. A guide to recirculation aquaculture: An introduction to the new environmentally friendly and highly productive closed fish farming systems; 2022.

Føre M, Frank K, Norton T. … E. S., and undefined. Precision fish farming: A new framework to improve production in aquaculture, Elsevier; 2018, Available:https://www.sciencedirect.com/science/article/pii/S1537511017304488 Accessed on: Jan. 24, 2024. [Online].

Edan Y, Han S, Kondo N. Automation in Agriculture, Springer Handb. Autom. 2009; 1095–1128. DOI: 10.1007/978-3-540-78831-7_63

Ylaya VJV. School level is discontinuance intention: A case study on information system is discontinuance of Surigao State College Of Technology, Int. J. Phys. Soc. Sci. 2020;10(7):9–18. Available:https://www.indianjournals.com/ijor.aspx?target=ijor:ijpss&volume=10&issue=7&article=002 Accessed: May 11, 2023. [Online].

Neethirajan SB. K.-S. and B.-S. Research, and undefined 2021, Digital livestock farming, Elsevier, Available:https://www.sciencedirect.com/science/article/pii/S2214180421000131 Accessed: Jan. 24, 2024. [Online].

Ylaya, Vrian Jay. Power spectral density analysis of subsurface Electromagnetic Wave (EM) Radar Implemented in USRP 2932. International Journal of Advanced Trends in Computer Science and Engineering. 2020;9:4515-4520. DOI: 10.30534/ijatcse/2020/47942020

SN.- Sensors and undefined, Artificial intelligence and sensor technologies in dairy livestock export: Charting a digital transformation, mdpi. Coml; 2023. Available:https://www.mdpi.com/1424-8220/23/16/7045 Accessed: Jan. 24, 2024. [Online].

Prakash C, Singh L, Gupta A, S. L.-S. and A. A, and undefined 2023, Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation, Elsevier. Available:https://www.sciencedirect.com/science/article/pii/S0924424723004545. Accessed: Jan. 24, 2024. [Online].

Rüßmann M et al. Industry 4.0: The future of productivity and growth in manufacturing industries, inovasyon.org; 2015, Available:https://inovasyon.org/images/Haberler/bcgperspectives_Industry40_2015.pdf Accessed: Jan. 24, 2024. [Online].

Arvanitis K. E. S.-T. O. A. Journal, and undefined Agriculture 4.0: the role of innovative smart technologies towards sustainable farm management, benthamopen.com; 2020. Available:https://benthamopen.com/ABSTRACT/TOASJ-14-130/ Accessed: Jan. 24, 2024. [Online].

Chong C. S. K.-P. of the IEEE, and undefined. Sensor networks: evolution, opportunities, and challenges, ieeexplore. ieee.org; 2003 Available:https://ieeexplore.ieee.org/abstract/document/1219475/ Accessed: Jan. 24, 2024. [Online].

Halachmi I, Guarino M. J. B.-A. review of animal, and undefined. Smart animal agriculture: Application of real-time sensors to improve animal well-being and production, annualreviews.org; 2019. Available:https://www.annualreviews.org/doi/abs/10.1146/annurev-animal-020518-114851 Accessed: Jan. 24, 2024. [Online].

Ylaya J. Improved Design of Binary Full Adder. International journal of advanced trends in computer science and engineering. 2020;9:4113-4116. DOI: 10.30534/ijatcse/2020/239932020.

Tedeschi L, P. G.-… of A. Science, and undefined 2021, Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming, academic.oup.com. 2021;99(2):1–11. DOI: 10.1093/jas/skab038.

Halachmi I, Guarino M, Bewley J, Pastell M. Smart Animal Agriculture: Application of real-time sensors to improve animal well-being and production, Annu. Rev. Anim. Biosci. 2019;7:403–425. DOI: 10.1146/ANNUREV-ANIMAL-02051 8-114851.

Macasero, Jesrey Martin & Gerasta, Olga Joy & Pongcol, Daryl & Ylaya, Vrian Jay & Caberos, ai. Underground Target Objects Detection Simulation Using FMCW Radar with SDR Platform. 2018:1-7 DOI:10.1109/HNICEM.2018.8666248.

Sodiq A, Baloch A, Khan S, N. S.-… of C. Production, and undefined. Towards modern sustainable cities: Review of sustainability principles and trends, Elsevier; 2019. Available:https://www.sciencedirect.com/science/article/pii/S0959652619311837 Accessed: Jan. 24, 2024. [Online].

Kesavan P. … M. S.-T. of the, and undefined. Strategies and models for agricultural sustainability in developing Asian countries; 2008. Royalsociety publishing.org. Available:https://royalsocietypublishing.org/doi/abs/10.1098/rstb.2007.2189 Accessed: Jan. 24, 2024. [Online].

Ylaya, Vrian Jay, Gerasta, Olga Joy, Macasero, Jesrey Martin & Pongcol, Daryl & Pandian, Najie & Vicerra, Ryan. Linear Frequency Modulated Continuous Wave LFM-CW Short-Range Radar for Detecting Subsurface Water Content With Deep Learning. 2020:1-6. DOI:10.1109/HNICEM51456.2020.9400001.

J. P.- Environment, development and sustainability, and undefined. Can sustainable agriculture feed Africa? New evidence on progress, processes and impacts, Springer; 1999. Available:https://link.springer.com/article/10.1023/A:1010039224868 Accessed: Jan. 24, 2024. [Online].

Ye X, Wang Z, Q.L.- Agriculture, ecosystems & environment, and undefined. The ecological agriculture movement in modern China, Elsevier; 2002. Available:https://www.sciencedirect.com/science/article/pii/S0167880901002948. Accessed: Jan. 24, 2024. [Online].

Araújo SO, Peres RS, Barata J, Lidon F, Cochicho Ramalho J, Balafoutis T. Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities, mdpi.com; 2021. DOI: 10.3390/agronomy11040667.

Malik P, Sharma R, Singh R. … A. G.-C., and undefined. Industrial Internet of Things and its applications in industry 4.0: State of the art, Elsevier; 2021, Available:https://www.sciencedirect.com/science/article/pii/S0140366420319964 Accessed: Jan. 24, 2024. [Online].

Pongcol, Daryl & Gerasta, Olga Joy & Macasero, Jesrey Martin & Ylaya, Vrian Jay & Caberos, ai. GNU-Radio Simulation Application for Impulse Radar Technique on Ground Object Detection. 2018:1-6. DOI: 10.1109/HNICEM.2018.8666440.

V. Balaska, Z. Adamidou, Z. Vryzas, A. G.- Machines, and undefined. Sustainable crop protection via robotics and artificial intelligence solutions, mdpi.com; 2023. Available: https://www.mdpi.com/2075-1702/ 11/8/774. Accessed: Jan. 24, 2024. [Online].

Hassoun A et al. Truths and myths about superfoods in the era of the COVID-19 pandemic, Crit. Rev. Food Sci. Nutr; 2022. DOI: 10.1080/10408398.2022.2106939.

Ylay VJV, Bacarro RR. Novel rectenna design for RF harvesting. Engineering and Science. 2022;7(2):90-93.

Delante VZ, Ylaya VJ, Vicerra RR, Bacarro RR. Energy potential of macopa irrigation using Pico-Hydro power plant design utilizing under-shot type waterwheel. In 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM). 2021:1-6IEEE.

Hassoun A, Harastani R. S. J.-… in F. S. and, and undefined. Truths and myths about superfoods in the era of the COVID-19 pandemic,Taylor Fr; 2022 Available: https://www.tandfonline.com/doi/abs/10.1080/10408398.2022.2106939 Accessed: Jan. 24, 2024. [Online].

Sadique G. IoT based Smart Water Management, Water temperature, PH and Soil Moisture Monitoring System for Indoor Farming; 2023, Available: http://dspace.iiuc.ac.bd/xmlui/handle/123456789/7032 Accessed: Jan. 24, 2024. [Online].

Hassoun A et al. The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies, Taylor Fr. Available: https://www.tandfonline.com/doi/abs/10.1080/10408398.2022.2034735 Accessed: Jan. 24, 2024. [Online].

Allioui H, Y. M.- Sensors, and undefined. Exploring the full potentials of IoT for better financial growth and stability: A comprehensive survey, mdpi.com; 2023. Available: https://www.mdpi.com/1424-8220/23/19/8015 Accessed: Jan. 24, 2024. [Online].

Kuru K. H. Y.-I. Access, and undefined. Transformation to advanced mechatronics systems within new industrial revolution: A novel framework in automation of everything (AoE), ieeexplore.ieee.org; 2019. Available:https://ieeexplore.ieee.org/abstract/document/8675275/ Accessed on: Jan. 24, 2024. [Online].

Ylaya VJV, Arcaya RC. A Review on non-evasive groundwater determination technique using Electromagnetic Wave Principle.

An animal chooses a foraging strategy that maximizes net energy while providing the most gain (power) to maximize fitness. OFT aids in predicting the most effective way for an animal to accomplish this aim - Google Search.

Ylaya VJV, Buba RT. Performance Analysis of Solar Powered Water Well Pump.

A feeding strategy theory’s primary goal is to figure out which behavioral and morphological complex is best for collecting food energy in each environment for a specific animal. As a result, the task is an optimization problem, and the user can trisect i..

Calang XA, Al John ST, Gerasta OJL, Pandian N, Ylaya VJV. Low Cost High Frequency Tag Antenna for an Inventory Management RFID System. In 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM). 2019:1-6. IEEE.

Lazard J. L. D.-F. and Aquaculture, and undefined. Freshwater aquaculture and polyculture, books.google. com; 2009.

Schückel S, Sell AF, Kihara TC, Koeppen A, Kröncke I, Reiss H. Meiofauna as food source for small-sized demersal fish in the southern North Sea, Helgol. Mar. Res. 2013;67(2):203–218. DOI: 10.1007/S10152-012-0316-1/FIGURES/3