Bioscience Methods 2025, Vol.16, No.5, 238-245 http://bioscipublisher.com/index.php/bm 243 The rice-shrimp farming system in Sichuan is a modern upgrade of the traditional co-cultivation model, integrating standardization and intelligent control technologies to optimize production efficiency. The system uses advanced environmental monitoring and automatic control technologies to manage water quality, water temperature and other key ecological factors in real time to ensure that both rice and crayfish are in optimal growth conditions. This intelligent management not only improves unit output efficiency, but also enhances the sustainability of the system by reducing resource waste and environmental pressure (Jin et al., 2020). 7 Concluding Remarks Optimizing rice management through integrated rice-fish farming is an important way to develop green and efficient agriculture. There are several key points to optimize. For example, to improve water efficiency, water management methods such as "dry-wet alternation" should be used. At the same time, environmentally friendly pest and disease control methods should be used. These practices can make better use of resources on the one hand, and improve agricultural output and the ecological environment on the other. After aquatic products are brought in, the nutrient cycle is smoother and can be used. In this way, less fertilizer can be used and the soil is healthier. The system becomes more efficient, which is of great help to agricultural development. However, the environmental conditions, farmers' habits and resource conditions in each place are different. Therefore, the rice-fish model cannot be a one-size-fits-all approach, but should be adjusted according to the actual local conditions. In this way, the effect is the best and more sustainable in the long run. In order to make farmers willing to use this method, there must be policy support, such as building infrastructure, providing technical training, and some subsidy measures. At the same time, the government should also encourage investment in scientific research and promote successful experiences, so that the rice-fish model can develop faster. Now, digital agricultural technology is becoming more and more advanced. Many systems can be controlled automatically, such as intelligent water diversion, water quality and temperature monitoring. These technologies can help farmers manage resources and improve decision-making efficiency, resulting in higher yields and lower costs. As digital agriculture continues to develop, its integration with the rice-fish system will become increasingly close, and will also bring about a new agricultural model that is more efficient, more environmentally friendly and more profitable. Acknowledgments Thanks to the reviewers for their valuable feedback, which helped improve the manuscript. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Ahmed S., Kumar V., Zaman A., Dewan M., Khatun A., Hossain K., Singh S., Timsina J., and Krupnik T., 2025, Dry direct-seeded and broadcast rice: A profitable and climate-smart alternative to puddled transplanted aus rice in Bangladesh, Field Crops Research, 322: 109739. https://doi.org/10.1016/j.fcr.2025.109739 Anwar D., Bao Y., Zhou Y., Chen S., Zhou J., Li L., Cheng Z., Dong X., Shi X., Su X., Li L., Wang H., Wang Y., Li S., Li Q., Li X., Liu M., Sun J., Zhao N., Yang Y., Li Y., Wang Q., and Jia W., 2023, 778-P: efficacy and safety of supaglutide as add-on to metformin in patients with type 2 diabetes, Diabetes, 72(Suppl_1): 778-P. https://doi.org/10.2337/db23-778-p Cazenave J., Bacchetta C., Repetti M., and Rossi A., 2024, Biomarker responses in fish caged in a rice field during a bifenthrin application, Environmental Research, 263: 120240. https://doi.org/10.1016/j.envres.2024.120240 Dou Z., Li Y., Guo H., Chen L., Jiang J., Zhou Y., Xu Q., Xing Z., Gao H., and Zhang H., 2021, Effects of mechanically transplanting methods and planting densities on yield and quality of Nanjing 2728 under rice-crayfish continuous production system, Agronomy, 11(3): 488. https://doi.org/10.3390/AGRONOMY11030488 Du F., Hua L., Zhai L., Zhang F., Fan X., Wang S., Liu Y., and Liu H., 2022, Rice-crayfish pattern in irrigation-drainage unit increased N runoff losses and facilitated N enrichment in ditches, Science of the Total Environment, 848: 157721. https://doi.org/10.1016/j.scitotenv.2022.157721
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