A REVIEW OF TECHNOLOGICAL DEVELOPMENTS IN SHRIMP AQUACULTURE PRODUCTION
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Abakari, G., Wu, X., He, X., Fan, L., & Luo, G. (2022). Bacteria in biofloc technology aquaculture systems: Roles and mediating factors. Reviews in Aquaculture, 14(3), 1260–1284.
Adetunji, C. O., Anani, O. A., Olugbemi, O. T., Hefft, D. I., Wilson, N., & Olayinka, A. S. (2022). Toward the design of an intelligent system for enhancing saltwater shrimp production using fuzzy logic. In A. Abraham, S. Dash, J. J. P. C. Rodrigues, B. Acharya, & S. K. Pani (Eds.), AI, edge and IoT-based smart agriculture (pp. 533–541). Academic Press.
Ahmed, N., & Turchini, G. M. (2021). Recirculating aquaculture systems (RAS): Environmental solution and climate change adaptation. Journal of Cleaner Production, 297, 126604.
Alfaro-Montoya, J., Braga, A., & Umaña-Castro, R. (2019). Research frontiers in penaeid shrimp reproduction: Future trends to improve commercial production. Aquaculture, 503, 70–87.
Amos, N. (2018). The business of farm animal welfare. In N. Amos & R. Sullivan (Eds.). Routledge.
Arnold, S., Smullen, R., Briggs, M., West, M., & Glencross, B. (2016). The combined effect of feed frequency and ration size of diets with and without microbial biomass on the growth and feed conversion of juvenile Penaeus monodon. Aquaculture Nutrition, 22(6), 1340–1347.
Avnimelech, Y. (2015). Biofloc technology: A practical guidebook (3rd ed.). World Aquaculture Society.
Bhassu, S., Shama, M., Tiruvayipati, S., Soo, T. C. C., Ahmed, N., & Yusoff, K. (2024). Microbes and pathogens associated with shrimps: Implications and review of possible control strategies. Frontiers in Marine Science, 11, 1397708.
Biswas, O., Biswas, S., Goswami, A., & Biswas, S. (2023). Artificial intelligence (AI): A prospective frontier area in the field of livestock and aquaculture. Indian Journal of Animal Health, 62(2), 145–150.
Boyd, C. E., McNevin, A. A., Davis, R. P., Godumala, R., & Mohan, A. B. C. (2018). Production methods and resource use at Litopenaeus vannamei and Penaeus monodon farms in India compared with previous findings from Thailand and Vietnam. Journal of the World Aquaculture Society, 49, 551–569. https://doi.org/10.1111/jwas.12524
Butt, U. D., Lin, N., Akhter, N., Siddiqui, T., Li, S., & Wu, B. (2021). Overview of the latest developments in the role of probiotics, prebiotics and synbiotics in shrimp aquaculture. Fish & Shellfish Immunology, 114, 263–281.
Dao, T. (2019). Vietnam sets goals for shrimp industry through 2025. Seafood Source. https://www.seafoodsource.com/news/supply-trade/vietnam-sets-goals-for-shrimp-industry-through-2025
de Almeida, M. S., Carrijo-Mauad, J. R., Gimenes, R. M. T., Gaona, C. A. P., Furtado, P. S., Poersch, L. H., ... & Fóes, G. K. (2021). Bioeconomic analysis of the production of marine shrimp in greenhouses using the biofloc technology system. Aquaculture International, 29(2), 723–741.
de Ávila, L. R., Botelho, S. S. D. C., Pias, M. R., de Vargas Guterres, B., & Junior, J. N. J. (2021, October). On aquaculture enhancements through robotic behaviour actuation. In 2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE) (pp. 294–299). IEEE.
Dewangan, N. K., Ayyaru, G., Kuzhanthaivel, R., Thirugnanasambandan, S. S., Martin, G. G., Daniel, K., & Ramakrishna, R. S. (2017). Incidence of simultaneous infection of infectious hypodermal and haematopoietic necrosis virus (IHHNV) and white spot syndrome virus (WSSV) in Litopenaeus vannamei. Aquaculture, 471, 1–7.
Duc, P. M., Hoa, T. T. T., Phuong, N. T., Bosma, R. H., Hien, H. V., & Tuan, T. N. (2015). Virus diseases risk factors associated with shrimp farming practices in rice–shrimp and intensive culture systems in the Mekong Delta, Vietnam. International Journal of Science and Research, 5, 2250–3153.
Emerenciano, M. G. C., Martínez-Córdova, L. R., Martínez-Porchas, M., & Miranda-Baeza, A. (2017). Biofloc technology (BFT): A tool for water quality management in aquaculture. Water Quality, 5, 92–109.
Emerenciano, M. G., Rombenso, A. N., Vieira, F. D. N., Martins, M. A., Coman, G. J., Truong, H. H., ... & Simon, C. J. (2022). Intensification of penaeid shrimp culture: An applied review of advances in production systems, nutrition and breeding. Animals, 12(3), 236.
Engle, C. R., Boyd, C. E., Paungkaew, D., Viriyatum, R., Tinh, H. Q., & Minh, H. N. (2017). Economics of sustainable intensification of aquaculture: Evidence from shrimp farms in Vietnam and Thailand. Journal of the World Aquaculture Society, 48, 227–239.
Fadilah, A. N., & Fasya, A. H. (2021, February). Examination of Taura Syndrome Virus (TSV) in white shrimp (Litopenaeus vannamei) and tiger prawn (Penaeus monodon) with Polymerase Chain Reaction (PCR) method. In IOP Conference Series: Earth and Environmental Science, 679(1), 012069.
Food and Agriculture Organization. (2020). Regional review on status and trends in aquaculture development in Asia-Pacific 2020 (FAO Fisheries and Aquaculture Circular No. 1232/6). FAO. https://www.fao.org
Food and Agriculture Organization. (2022). The state of world fisheries and aquaculture 2022: Towards blue transformation. FAO. https://doi.org/10.4060/cc0461en
Food and Agriculture Organization. (2024). The state of world fisheries and aquaculture 2024: Blue transformation in action. FAO. https://doi.org/10.4060/cd0683en
Fenster, K., Freeburg, B., Hollard, C., Wong, C., Rønhave Laursen, R., & Ouwehand, A. C. (2019). The production and delivery of probiotics: A review of a practical approach. Microorganisms, 7(3), 83.
Ferdous, M. A., Islam, S. I., Habib, N., Almehmadi, M., Allahyani, M., Alsaiari, A. A., & Shafie, A. (2022). CRISPR-Cas genome editing technique for fish disease management: Current study and future perspective. Microorganisms, 10(10), 2012.
Flegel, T. W. (2019). A future vision for disease control in shrimp aquaculture. Journal of the World Aquaculture Society, 50(2), 249–266.
Flegel, T. W., Lightner, D. V., Lo, C. F., & Owens, L. (2008). Shrimp disease control: Past, present and future. In Diseases in Asian Aquaculture VI (pp. 355–378). Asian Fisheries Society.
Fry, J. P., Mailloux, N. A., Love, D. C., Milli, M. C., & Cao, L. (2018). Feed conversion efficiency in aquaculture: Do we measure it correctly? Environmental Research Letters, 13(2), 024017.
Giap, D. H., Garden, P., & Lebel, L. (2010). Enabling sustainable shrimp aquaculture: Narrowing the gaps between science and policy in Thailand. In Sustainable Production Consumption Systems: Knowledge, Engagement and Practice (pp. 123–144). Springer.
Gonzalez, T. J. (2025). Harmonizing animal health and welfare in modern aquaculture: Innovative practices for a sustainable seafood industry. Fishes, 10(4), 156.
Hai, T. N., Duc, P. M., Son, V. N., Minh, T. H., & Phuong, N. T. (2015). Innovation in seed production and farming of marine shrimp in Vietnam. World Aquaculture, 46(1), 32–37.
Hine, M., Adams, S., Arthur, J. R., Bartley, D., Bondad-Reantaso, M. G., Chávez, C., ... & Wardle, R. (2010). Improving biosecurity: A necessity for aquaculture sustainability. In Farming the Waters for People and Food: Global Conference on Aquaculture (pp. 22–25). FAO, NACA & Thai Department of Fisheries.
Jamal, M. T., Abdulrahman, I. A., Al Harbi, M., & Chithambaran, S. (2019). Probiotics as alternative control measures in shrimp aquaculture: A review. Journal of Applied Biology & Biotechnology, 7(3), 69–77.
Jory, D. (2023). Annual farmed shrimp production survey: A slight decrease in production reduction in 2023 with hopes for renewed growth in 2024. Global Seafood Alliance.
Kajornkasirat, S., Ruangsri, J., Sumat, C., & Intaramontri, P. (2021). Online analytics for shrimp farm management to control water quality parameters and growth performance. Sustainability, 13(11), 5839.
Kakade, A., Sharma, M., Salama, E. S., Zhang, P., Zhang, L., Xing, X., ... & Li, X. (2023). Heavy metals pollution in the aquatic environment: Role of probiotics and gut microbiota in remediation. Environmental Research, 223, 115186.
Khanjani, M. H., Alizadeh, M., & Sharifinia, M. (2020). Rearing of the Pacific white shrimp (Litopenaeus vannamei) in a biofloc system: The effects of different food sources and salinity levels. Aquaculture Nutrition, 26, 328–337.
Knipe, H., Temperton, B., Lange, A., Bass, D., & Tyler, C. R. (2021). Probiotics and competitive exclusion of pathogens in shrimp aquaculture. Reviews in Aquaculture, 13(1), 324–352.
Kumar, V., Roy, S., Meena, D. K., & Sarkar, U. K. (2016). Application of probiotics in shrimp aquaculture: Importance, mechanisms of action, and methods of administration. Reviews in Fisheries Science & Aquaculture, 24(4), 342–368.
Lal, S., Ahirwar, S. B., Kanojia, S., Rai, S., V., C. S., Gupta, S., … Nautiyal, P. (2024). Robot-assisted aquaculture and sustainable seafood production for enhanced food security. International Journal of Environment and Climate Change, 14(2), 215–220.
Lembo, G., Speiser, B., Casey, J., Garcia, A. E., Jokumsen, A., Papandroulakis, N., & Sorgeloos, P. (2014). European Commission: Final report on aquaculture (Part B). EGTOP Annex II.
Lim, L. W. K. (2024). Implementation of artificial intelligence in aquaculture and fisheries: Deep learning, machine vision, big data, internet of things, robots and beyond. Journal of Computational and Cognitive Engineering, 3(2), 112–118.
Lu, C. L., Chen, S. N., & Hung, S. W. (2020). Application of novel technology in aquaculture. In Q. Lu & M. Serajuddin (Eds.), Emerging technologies, environment and research for sustainable aquaculture (pp. 2–15). IntechOpen.
Ma, Z., Wan, R., Song, X., & Gao, L. (2013). The effect of three culture methods on intensive culture system of Pacific white shrimp (Litopenaeus vannamei). Journal of Ocean University of China, 12, 434–440.
Mohale, H. P., Narsale, S. A., Kadam, R. V., Prakash, P., Sheikh, S., Mansukhbhai, C. R., … Baraiya, R. (2024). Artificial intelligence in fisheries and aquaculture: Enhancing sustainability and productivity. Archives of Current Research International, 24(3), 106–123.
Mustapha, U. F., Alhassan, A. W., Jiang, D. N., & Li, G. L. (2021). Sustainable aquaculture development: A review on the roles of cloud computing, internet of things and artificial intelligence (CIA). Reviews in Aquaculture, 13(4), 2076–2091.
Muthu, C. M., Vickram, A. S., Sowndharya, B. B., Saravanan, A., Kamalesh, R., & Dinakarkumar, Y. (2024). A comprehensive review on the utilization of probiotics in aquaculture towards sustainable shrimp farming. Fish & Shellfish Immunology, 147, 109459.
Navaneeth, K. A., Bhuvaneswari, T., Rajan, J. J. S., Alavandi, S. V., Vijayan, K. K., & Otta, S. K. (2020). Characterization of Vibrio parahaemolyticus isolates from shrimp farms of Southeast coast of India with special reference to acute hepatopancreatic necrosis disease (AHPND) status. Aquaculture, 518, 734813.
Nguyen, T. A. T., Nguyen, K. A. T., & Jolly, C. (2019). Is super-intensification the solution to shrimp production and export sustainability? Sustainability, 11(19), 5277.
Orozco-Lugo, A. G., McLernon, D. C., Lara, M., Zaidi, S. A. R., González, B. J., Illescas, O., … Rodríguez-Vázquez, R. (2022). Monitoring water quality in a shrimp farm using a FANET. Internet of Things, 18, 100170.
Prachumwat, A., Taengchaiyaphum, S., Mungkongwongsiri, N., Aldama Cano, D. J., Flegel, T. W., & Sritunyalucksana, K. (2019). Update on early mortality syndrome/acute hepatopancreatic necrosis disease by April 2018. Journal of the World Aquaculture Society, 50(1), 5–17.
Qian, C., Wang, R., Wu, C., Wang, L., Ye, Z., Wu, J., & Ji, F. (2018). A fast and visual method for duplex shrimp pathogens detection with high specificity using rapid PCR and molecular beacon. Analytica Chimica Acta, 1040, 105–111.
Qiao, G., Xu, D. H., Wang, Z., Jang, I. K., Qi, Z., Zhang, M., & Kim, S. K. (2015). Comparison of immune response of Pacific white shrimp (Litopenaeus vannamei) after multiple and single infections with WSSV and Vibrio anguillarum. Fish & Shellfish Immunology, 44(1), 257–264.
Quach, A. V. (2018). Shrimp farming vulnerability and adaptation to climate change in Ca Mau, Vietnam (Doctoral dissertation, Murdoch University).
Quach, L. D., Hoang, L. Q., Trung, N. D., & Nguyen, C. N. (2020). Towards machine learning approaches to identify shrimp diseases based on description. In Proceedings of the 12th National Conference on Fundamental and Applied Information Technology Research (FAIR) (pp. 494–501).
Rastegari, H., Nadi, F., Lam, S. S., Ikhwanuddin, M., Kasan, N. A., Rahmat, R. F., & Mahari, W. A. W. (2023). Internet of things in aquaculture: A review of the challenges and potential solutions based on current and future trends. Smart Agricultural Technology, 4, 100187.
Reis, J., Weldon, A., Ito, P., Stites, W., Rhodes, M., & Davis, D. A. (2021). Automated feeding systems for shrimp: Effects of feeding schedules and passive feedback feeding systems. Aquaculture, 541, 736800.
Roccatello, R., Endrizzi, I., Aprea, E., & Dabbou, S. (2024). Insect-based feed in aquaculture: A consumer attitudes study. Aquaculture, 582, 740512.
Samocha, T. M. (2010). Use of intensive and super-intensive nursery systems. In The shrimp book (pp. 247–280). CABI.
Schuur, A. M., Boyd, C. E., & McNevin, A. A. (2020). Feasibility assessment for intensification of the small-holder extensive shrimp farm area. [Report].
Searchinger, T., Waite, R., Hanson, C., & Ranganathan, J. (2019). Creating a sustainable food future: A menu of solutions to feed nearly 10 billion people by 2050. World Resources Report. https://wrr-food.wri.org
Shang, Y. C., Leung, P., & Ling, B. H. (1998). Comparative economics of shrimp farming in Asia. Aquaculture, 164(1–4), 183–200.
Taneja, A., Nair, G., Joshi, M., Sharma, S., Sharma, S., Jambrak, A. R., … Phimolsiripol, Y. (2023). Artificial intelligence: Implications for the agri-food sector. Agronomy, 13(5), 1397.
Tang, K. F., & Lightner, D. V. (2001). Detection and quantification of infectious hypodermal and hematopoietic necrosis virus in penaeid shrimp by real-time PCR. Diseases of Aquatic Organisms, 44(2), 79–85.
Tom, A. P., Jayakumar, J. S., Biju, M., Somarajan, J., & Ibrahim, M. A. (2021). Aquaculture wastewater treatment technologies and their sustainability: A review. Energy Nexus, 4, 100022.
Tsai, K. L., Chen, L. W., Yang, L. J., Shiu, H. J., & Chen, H. W. (2022). IoT-based smart aquaculture system with automatic aeration and water quality monitoring. Journal of Internet Technology, 23(1), 177–184.
Uawisetwathana, U., Leelatanawit, R., Klanchui, A., Prommoon, J., Klinbunga, S., & Karoonuthaisiri, N. (2011). Insights into eyestalk ablation mechanism to induce ovarian maturation in the black tiger shrimp. PLoS ONE, 6(9), e24427.
Westfall, S., Carracci, F., Estill, M., Zhao, D., Wu, Q. L., Shen, L., ... & Pasinetti, G. M. (2021). Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract. Scientific Reports, 11(1), 1067.
Xiao, R., Wei, Y., An, D., Li, D., Ta, X., Wu, Y., & Ren, Q. (2019). A review on the research status and development trend of equipment in water treatment processes of recirculating aquaculture systems. Reviews in Aquaculture, 11(3), 863–895.
Yoo, S. H., Ju, Y. T., Kim, J. S., & Kim, E. K. (2020). Design and development of underwater drone for fish farm growth environment management. The Journal of the Korea Institute of Electronic Communication Sciences, 15, 959–966.
Yue, G. H. (2014). Recent advances of genome mapping and marker assisted selection in aquaculture. Fish and Fisheries, 15(3), 376–396.
Zacarias, S., Carboni, S., Davie, A., & Little, D. C. (2019). Reproductive performance and offspring quality of non-ablated Pacific white shrimp (Litopenaeus vannamei) under intensive commercial scale conditions. Aquaculture, 503, 460–466.
Zenger, K. R., Khatkar, M. S., Jones, D. B., Khalilisamani, N., Jerry, D. R., & Raadsma, H. W. (2019). Genomic selection in aquaculture: Application, limitations and opportunities with special reference to marine shrimp and pearl oysters. Frontiers in Genetics, 9, 693.
Zhang, X., Yuan, J., Sun, Y., Li, S., Gao, Y. I., Yu, Y., ... & Xiang, J. (2019). Penaeid shrimp genome provides insights into benthic adaptation and frequent moulting. Nature Communications, 10(1), 356.
DOI: http://dx.doi.org/10.15578/iaj.20.2.2025.157-172

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