Design of Automatic Feeder for Shrimp Farming Based on Internet of Things Technology
DOI:
https://doi.org/10.21776/MECHTA.2021.002.02.8Keywords:
Automatic Feeder, Arduino Uno, Shrimp FarmingAbstract
In shrimp farming, feeding is an important activity to achieve good shrimp growth. Manual feeding manually using hand is less effective due to unequal food distribution. Thus, an automatic feeder is required to dispense feed at predetermined time. The advantages of automatic feeder are cost-effective, low labour requirement, and can be applicable for large volumes of feed. Design of automatic feeder machine can influence the capacity and time controlling of the feeder. In this research, the automatic feeder was designed using a controlling time system based on Internet of Things (IoT) technology. During plant trial, The automatic feeding was scheduled at 7 am, 11 am, 4 pm, and 8 pm. This machine could throw shrimp food homogeneously up to 10 m far for 2,500 m2 pond area. In shrimp farming, distribution of shrimp food in predetermined time becomes an important rule to achieve good shrimp growth.
References
FAO (Food and Agriculture Organization). FishStatJ: a tool for fishery statistics analysis, Release 2.0.0. Universal software for fishery statistical time series. Global capture and aquaculture production: Quantities 1950–2012; Aquaculture values 1984–2012, FAO Fisheries Department, Fishery Information, Data and Statistics Unit, Rome, Italy, 2014
HIDAYATULLAH, T., TAUFIQUROHMAN, M., “Ekspor udang melesat lampaui target 2020†(in Bahasa Indonesia), Lokadata, https://lokadata.id/artikel/ekspor-udang-masih-bisa-tumbuh-lebih-tinggi, retrieved on April 4, 2021.
TACON, A.G.J., HASAN, M.R., METIAN, M., “Demand and supply of feed ingredients for farmed fish and crustaceans: trends and prospectsâ€, FAO Fisheries and Aquaculture Technical Paper, 2011
POH, Y.T., “Feed management improves profit in shrimp farmingâ€, Global Aquaculture Advocate, July 2014
SHIPTON, T, A., HASAN, M, R. An Overview of the current status of feed management practices. FAO Fisheries and Aquaculture Technical Paper. 2013.
UDDIN, M.N., RASHID, M., MOSTAFA, M.G., SALAM, S., “Development of automatic fish feederâ€, Global Journal of Researches in Engineering, vol. 16, pp. 15-23, 2016
SABARI, A.K., SAVITHA, V., VINITHRA, N., DHANASEKAR, J., “Smart fish feederâ€, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2, pp. 111-115, 2017.
WURTS, W.A., DURBOROW, R.M., “Interactions of pH, carbon dioxide, alkalinity and hardness in fish pondsâ€, Southern Regional Aquaculture Center, vol. 464, pp. 1-4, 1992
DADA, E, G., THEOPHINE, N, C., ADEKUNLE, A, L., “Arduino UNO microcontroller based automatic fish feederâ€, Pacific Journal of Science and Technology, vol. 19, No. 1, May 2018
MARTÃNEZ-CÓRDOVA, L.R., CRUZ-SUÃREZ, L.E., RICQUE MARIE, D., TAPIA-SALAZAR, M., NIETO-LÓPEZ, M.G., VILLARREAL-CAVAZOS, D.A., GAMBOA DELGADO, J., ALVAREZ-GONZÃLEZ, C., “Selección de Alimentos y Estrategias de Alimentación acordes a las Condiciones de Cultivo del Camarón. Contribuciones Recientes en Alimentación y Nutrición AcuÃcola, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, México, pp. 84–104, 2013
CARBAJAL-HERNÃNDEZ, J.J., SÃNCHEZ-FERNÃNDEZ, L.P., CARRASCO-OCHOA, J.A., “Immediate water quality assessment in shrimp culture using fuzzy inference systemsâ€, Expert Syst. Appl. 39, pp. 10571–10582, 2012, http://dx.doi.org/10.1016/j.eswa.2012.02.141
BÓRQUEZ-LOPEZA, R.A., CASILLAS-HERNANDEZB, R., LOPEZ-ELIASA, J.A., BARRAZA-GUARDADOA, R.H., MARTINEZ-CORDOVAA, L.R. "Improving feeding strategies for shrimp farming using fuzzy logic, based on water quality parameters", Aquacultural Engineering, vol. 81, pp. 38–45, 2018.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See the Effect of Open Access).
