IoT-based device for water quality monitoring with mealworm feeding for vannamei shrimp
Main Article Content
Abstract
The growth of vannamei shrimp is influenced by several factors, including feed and water quality. The type of feed provided can affect the quality of water in which white shrimp live. In this study, feeds with 20%, 40%, and 60% mealworms were used as three feeding treatments for vannamei shrimp. The main goal of this study was to determine whether mealworm feeding affects water quality. Temperature sensors, pH sensors, and total dissolved solid (TDS) sensors were used in this study by utilizing internet of things (IoT) technology to monitor the water quality. The sensors were placed in four tanks with three types of mealworm feed at different percentage levels. Readings were taken from the sensors every hour and monitoring was conducted for 14 days. This was performed to evaluate the system capabilities. ANOVA was used to compare the effects of the three feeding regimens. The findings indicated that the temperature variances in all tanks were generally similar. However, notable variances were observed in the pH and TDS values. This study revealed that feeding mealworms at any feed dose had no discernible effect on water quality.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Adipu, Y. (2019). Profil kualitas air pada budidaya udang vaname (Litopenaeus vannamei) sistem bioflok dengan sumber karbohidrat gula aren (Water quality profile in vannamei shrimp (Litopenaeus vannamei) aquaculture biofloc system with sugar carbohydrate source). Jurnal MIPA, 8(3), 122–125.
Ali, M. A. M., Khuraiba, H. M., Elsayed, N. E. G., and Sharawy, Z. Z. (2020). The effect of different stocking densities of marine shrimp larvae Litopeneaus vannamei on water quality using biofloc technology. Egyptian Journal of Nutrition and Feeds, 23(1), 183–195.
Chowdury, M. S. U., Emran, T. B., Ghosh, S., Pathak, A., Alam, M. M., Absar, N., Andersson, K., and Hossain, M. S. (2019). IoT based real-time river water quality monitoring system. Procedia Computer Science, 155, 161–168.
Dhruba, A. R., Alam, K. N., Khan, M. S., Saha, S., Khan, M. M., Baz, M., Masud, M., and AlZain, M. A. (2022). IoT-based water quality assessment system for industrial waste water-healthcare perspective. Journal of Healthcare Engineering, 2022, 3769965.
Gazzaz, N. M., Yusoff, M. K., Aris, A. Z., Juahir, H., and Ramli, M. F. (2012). Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors. Marine Pollution Bulletin, 64(11), 2409–2420.
Eddiwan, E., Sukendi, S., Siregar, Y. I., and Saam, Z. (2020). The effect of water quality variables on vannamei shrimp productivity (Litopenaeus vannamei) in the mining area of the Sungai Pinang village, Lingga Timur district, Lingga regency, Riau Islands province. IOP Conference Series: Earth and Environmental Science, 430, 012039.
Jan, F., Min-Allah, N., and Düştegör, D. (2021). IoT based smart water quality monitoring: Recent techniques, trends and challenges for domestic applications. Water, 13(13), 1729.
Kilawati, Y., Maimunah, Y., and Amrillah, A. (2020). Dynamics of water quality in vannamei (Litopenaeus vannamei) shrimp cultivation under different pool construction. Conference Proceeding ICoFMR 2020, 1(1), 48-51.
Lakshmikantha, V., Hiriyannagowda, A., Manjunath, A., Patted, A., Basavaiah, J., and Anthony, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2(2), 181–186.
Larasati, L. G., Nimitkul, S., and Dewi, N. N. (2021). The effects of various doses of probiotics on growth and survival rates of white shrimp larva (Litopenaeus vannamei). IOP Conference Series: Earth and Environmental Science, 718, 012097.
Liu, J., Zhang, D., Tang, Q., Xu, H., Huang, S., Shang, D., and Liu, R. (2021). Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods. PLOS ONE, 16(1), e0245525.
Loi, J. X., Chua, A. S. M., Rabuni, M. F., Tan, C. K., Lai, S. H., Takemura, Y., and Syutsubo, K. (2022). Water quality assessment and pollution threat to safe water supply for three river basins in Malaysia. Science of The Total Environment, 832, 155067.
Luvhimbi, N., Tshitangano, T. G., Mabunda, J. T., Olaniyi, F. C., and Edokpayi, J. N. (2022). Water quality assessment and evaluation of human health risk of drinking water from source to point of use at Thulamela municipality, Limpopo Province. Scientific Reports, 12(1), 6059.
Meride, Y., and Ayenew, B. (2016). Drinking water quality assessment and its effects on residents health in Wondo genet campus, Ethiopia. Environmental Systems Research, 5(1), 1.
Moparthi, N. R., Mukesh, Ch., and Vidya Sagar, P. (2018, February 27–28). Water quality monitoring system using IOT. In 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), Chennai, India.
Munni, M. A., Fardus, Z., Mia, M. Y., and Afrin, R. (2013). Assessment of pond water quality for fish culture: A case study of Santosh region in Tangail, Bangladesh. Journal of Environmental Science and Natural Resources, 6(2), 157–162.
Muqsith, A., Ariadi, H., and Wafi, A. (2021). Financial feasibility analysis and business sensitivity level on intensive aquaculture of vaname shrimp (Litopenaeus vannamei). ECSOFiM (Economic and Social of Fisheries and Marine Journal), 8(2), 268-279.
Palupi, M., Fitriadi, R., Wijaya, R., Raharjo, P., and Nurwahyuni, R. (2022). Diversity of phytoplankton in the whiteleg (Litopenaeus vannamei) shrimp ponds in the south coastal area of Pangandaran, Indonesia. Biodiversitas Journal of Biological Diversity, 23(1), 118–124.
Rakhfid, A., Harlianti, H., Fendi, F., and Karyawati, K. (2017). Growth and survival rate of vannamei shrimp (Litopenaeus vannamei) in various doses of fertilizer. Akuatikisle: Jurnal Akuakultur, Pesisir dan Pulau-Pulau Kecil, 1(2), 7–12.
Ritonga, L. BR. (2021). Water quality management in intensive aquaculture of vannamei shrimp (Litopenaeus vannamei) at PT. Andulang Shrimp Farm. Journal of Aquaculture Development and Environment, 4(1), 218–226.
Sánchez, I., and González, I. (2021). Monitoring shrimp growth with control charts in aquaculture. Aquacultural Engineering, 95, 102180.
Santanumurti, M. B., Samara, S. H., and Nindarwi, D. D. (2019). Water quality in the north Madura: Is it suitable for vannamei shrimp farming or not? Aquasains, 8(1), 753–758.
Son, C. T., Giang, N, T. H., Thao, T. P., Nui, N. H., Lam, N. T., and Cong, V. H. (2020). Assessment of Cau River water quality assessment using a combination of water quality and pollution indices. Journal of Water Supply: Research and Technology-Aqua, 69(2), 160-172.
Susilowati, T., Hutabarat, J., Anggoro, S., and Zainuri, M. (2014). The improvement of the survival, growth and production of vaname shrimp (Litopenaeus vannamei) and seaweed (Gracilaria verucosa) based on polyculture cultivation. International Journal of Marine and Aquatic Resource Conservation and Co-Existence, 1(1), 6–11.
Suwoyo, H. S., and Hendrajat, E. A. (2021). High density aquaculture of white shrimp (Litopenaeus vannamei) in controlled tank. IOP Conference Series: Earth and Environmental Science, 777, 012022.
Widanarni, Putri, F. N., and Rahman. (2019). Growth performance of white shrimp Litopenaeus vannamei fed with various dosages of prebiotic honey. IOP Conference Series: Earth and Environmental Science, 278, 012079.