# Blockchain Traceability Process for Hairy Crab Based on Cuckoo Filter
## 6 Conclusions and Outlook  
This paper constructs a whole-chain traceability process for hairy crabs from Yangcheng Lake for the needs of food safety and traceability in the context of smart agriculture. The process integrates blockchain and IoT technologies to achieve transparent supervision of all links from farming to sales, which effectively improves product trust and market competitiveness. Through an experimental analysis, the cuckoo filter outperforms the traditional Bloom filter in terms of data storage efficiency and query performance while  
Figure 10: Hairy crab traceability platform architecture.  
maintaining a low misclassification rate. The proposal of the ECMI model further optimises the blockchain data storage and retrieval mechanism and significantly improves the storage efficiency of the data fingerprints through the cuckoo filter technology. The ECMI model not only provides Yangcheng Lake hairy crabs with a highly efficient and safe traceability solution, but it also provides empirical support for the wider application of blockchain technology in smart agriculture, which is of great significance for promoting agricultural modernisation.  
The ECMI model, with its enhancements in data storage and query performance, presents a promising framework for blockchain-based traceability. However, as it transitions into practical applications and encounters the complexities of large-scale data management, it must navigate challenges related to scalability, system resource optimisation, dynamic data handling, and the strengthening of security and privacy measures. To surmount these obstacles, future research must delve into the advancement of data structures and algorithms, the strategic implementation of resource management, and the development of systems capable of real-time data manipulation. Concurrently, there is a critical need to enhance security protocols and privacy preservation techniques to safeguard the integrity of the data. Moreover, exploring cross-chain and multi-chain technologies will be pivotal for the ECMI model, enabling seamless and efficient data interchange across various blockchain networks [36, 37, 38, 39, 40, 41, 42]. This exploration is not only crucial for the model's scalability but also for fostering a more interconnected and collaborative ecosystem within the realm of distributed ledger technology.  
Looking ahead, the ECMI model's evolution will likely play a transformative role in smart agriculture scenarios, such as precision farming, supply chain transparency, and food provenance verification. Its potential to streamline data management and enhance operational efficiencies could lead to more sustainable agricultural practices and improved consumer trust. Furthermore, as the model is refined and adapted to address the unique demands of diverse agricultural contexts, it could serve as a blueprint for blockchain integration in other sectors, heralding a new era of transparency and efficiency in global supply chains.  
Conceptualization, S.T.; methodology, S.T.; software, S.T.; validation, S.T.; formal analysis, S.T.; investigation, S.T.; resources, S.T.; data curation, S.T.; writing--original draft preparation, S.T.; writing--review and editing, S.T.; visualization, S.T.; supervision, W.J.; project administration, W.J.; funding acquisition, W.J. All authors have read and agreed to the published version of the manuscript. This research was funded by National Key Research and Development Program of China grant number 2022 YFB2703000 and the APC was funded by National Key Research and Development Program of China. Not applicable. Not applicable.  
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author. The authors declare no conflict of interest.