Agrocomputing Applied to Fish Farming in Rondônia state (Brazil): Production Statistics and Main Software Tools Used for Financial Control
DOI:
https://doi.org/10.55873/6d36kk22Keywords:
aquaculture, economics, management, technology, fish farmingAbstract
Fish farming in Rondônia has significant economic importance, but production data remain fragmented and the adoption of integrated digital management tools is still limited. This integrative review analyzed the application of Agrocomputing to fish farming in Rondônia, focusing on production statistics, digital technologies, and software for financial control. Scientific literature published mainly between 2015 and 2026 was reviewed following PRISMA 2020 recommendations. The evidence showed substantial discrepancies among production estimates and increasing use of GIS, IoT, artificial intelligence, machine learning, and decision-support systems. Economic studies indicated that profitability varies according to feed costs, selling prices, production scale, and investment conditions. Although some systems integrate production and financial variables, their routine use in commercial fish farms in Rondônia remains poorly documented. Agrocomputing may therefore improve data integration, managerial efficiency, and economic decision-making.
References
Adebayo, I. T., Ajibola, S., Ahmad, A., Cartujo, P., Muritala, I., Elegbede, I. O., Cabral, P., & Martos, V. (2025). Understanding the application of digital technologies in aquaculture supply chains through a systematic literature review. Aquaculture International, 33(6), 397. https://doi.org/10.1007/s10499-025-02069-7
Albuquerque, P. de T. da F., Souza, R. H. B. de, Rocha, D. de O., Cavali, J., Santos, A. M. dos, & Dantas Filho, J. V. (2023). Geotechnologies applied to geographic information system (GIS) of Fish farming in Rondônia state, Western Amazon. Acta Scientiarum. Technology, 45, e64103. https://doi.org/10.4025/actascitechnol.v45i1.64103
Aromataris, E., Lockwood, C., Porritt, K., Pilla, B., & Jordan, Z. (Eds.). (2024). JBI Manual for Evidence Synthesis. JBI. https://doi.org/10.46658/JBIMES-24-01
Aung, T., Abdul Razak, R., & Rahiman Bin Md Nor, A. (2025). Artificial intelligence methods used in various aquaculture applications: A systematic literature review. Journal of the World Aquaculture Society, 56(1). https://doi.org/10.1111/jwas.13107
Belchior, E. B., & Dalchiavon, F. C. (2017). Viabilidade econômica da produção de tambaqui no município de Ariquemes-RO. Boletim Do Instituto de Pesca, 43(3), 373–384. https://doi.org/10.20950/1678-2305.2017v43n3p373
Bernal-Higuita, F., Acosta-Coll, M., Ballester-Merelo, F., & De-la-Hoz-Franco, E. (2023). Implementation of information and communication technologies to increase sustainable productivity in freshwater finfish aquaculture – A review. Journal of Cleaner Production, 408, 137124. https://doi.org/10.1016/j.jclepro.2023.137124
Cardoso, H. S., Silva, C. C. S., Dantas Filho, J. V., & Hurtado, F. B. (2022). Temporal analysis and evolution of fish farming in Alto Paraíso municipality, RO, Western Amazon, Brazil. Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences, 17(4), 1–12. https://doi.org/10.5039/agraria.v17i4a2520
Cavali, J. B., & Dantas Filho, J. V. (2024). Estimativas da piscicultura no estado de Rondônia. Scientia Naturalis, 6(1). https://doi.org/10.29327/269504.6.1-22
Chang, C.-C., Wang, J.-H., Wu, J.-L., Hsieh, Y.-Z., Wu, T.-D., Cheng, S.-C., Chang, C.-C., Juang, J.-G., Liou, C.-H., Hsu, T.-H., Huang, Y.-S., Huang, C.-T., Lin, C.-C., Peng, Y.-T., Huang, R.-J., Jhang, J.-Y., Liao, Y.-H., & Lin, C.-Y. (2021). Applying Artificial Intelligence (AI) Techniques to Implement a Practical Smart Cage Aquaculture Management System. Journal of Medical and Biological Engineering. https://doi.org/10.1007/s40846-021-00621-3
Chiu, M.-C., Yan, W.-M., Bhat, S. A., & Huang, N.-F. (2022). Development of smart aquaculture farm management system using IoT and AI-based surrogate models. Journal of Agriculture and Food Research, 9, 100357. https://doi.org/10.1016/j.jafr.2022.100357
Cobo, Á., Llorente, I., Luna, L., & Luna, M. (2019). A decision support system for fish farming using particle swarm optimization. Computers and Electronics in Agriculture, 161, 121–130. https://doi.org/10.1016/j.compag.2018.03.036
Oliveira, N. S., Sousa, R. G. C., & Lima, S. A. de O. (2025). Analysis of the period of expansion of fish farms in the state of Rondônia, Brazil. Boletim Do Instituto de Pesca, 51. https://doi.org/10.20950/1678-2305/bip.2024.51.e941
Pacheco, F. S., Heilpern, S. A., DiLeo, C., Almeida, R. M., Sethi, S. A., Miranda, M., Ray, N., Barros, N. O., Cavali, J., Costa, C., Doria, C. R., Fan, J., Fiorella, K. J., Forsberg, B. R., Gomes, M., Greenstreet, L., Holgerson, M., McGrath, D., McIntyre, P. B., … Flecker, A. S. (2025). Towards sustainable aquaculture in the Amazon. Nature Sustainability, 8(3), 234–244. https://doi.org/10.1038/s41893-024-01500-w
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, n71. https://doi.org/10.1136/bmj.n71
Pereira Martins, L., Franco, V., Vieira Dantas Filho, J., & De Oliveira Freitas, C. (2020). VIABILIDADE ECONÔMICA PARA O CULTIVO DO TAMBAQUI (Colossoma macropomum) EM VIVEIRO ESCAVADO NO MUNICÍPIO DE URUPÁ – RONDÔNIA. Revista de Administração e Negócios Da Amazônia, 12(2), 64–89. https://doi.org/10.18361/2176-8366/rara.v12n2p64-89
Pereira, R. G. de A. (2020). Produção da piscicultura de espécies nativas da Amazônia em Rondônia. Caderno De Ciências Agrárias, 12, 1–14. https://doi.org/https://doi.org/10.35699/2447-6218.2020.15940
Radulescu, M. (2019). AQUAM—A Decision Support Software for Fish Farm Management. Journal of Fisheries Science, 1(1). https://doi.org/10.30564/jfsr.v1i1.661
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. https://doi.org/10.1016/j.atech.2023.100187
Shubairi, M. N., Furtado, P., & Carvalho, R. F. (2026). Decision support systems for digital twins in aquaculture: A systematic literature review. Aquacultural Engineering, 114, 102728. https://doi.org/10.1016/j.aquaeng.2026.102728
Silva, R. C. A. V. da, & Signor, A. (2025). AVALIAÇÃO ECONÔMICA DA PRODUÇÃO DE TAMBAQUI (Colossoma macropromum): ESTUDO DE CASO DE UMA PISCICULTURA DE GRANDE ESCALA EM RONDÔNIA, BRASIL. ARTEFACTUM - Revista de Estudos Interdisciplinares, 24(1), e2402. https://doi.org/10.23900/artefactum.v24i1.2402
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Copyright (c) 2026 Jerônimo Vieira-Dantas-Filho , Jucilene Braitenbach-Cavali
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