Artificial intelligence-driven blockchain and Internet of Things framework for secure data management in precision agriculture

Journal of High Speed Networks, Journal Year: 2025, Volume and Issue: unknown

Published: April 27, 2025

It has been established that precision agriculture evolved so quickly blockchain embraced as a disruptive technology. Smart farms at first focused on the application of to increase operational effectiveness, but shift towards an ‘Internet Farms’ (IoSF) is prepared for improvement crop yield optimization. However, several challenges related secure sharing data, data utilization in terms efficiency and security, record management integrity especially when IoT systems are integrated. To overcome these difficulties, present work presents broad methodological framework guarantees safe, fast, transparent processing agriculture. The proposed comprises multiple layers—there four layers follows: layer, artificial intelligence (AI) security layer. There measurements which obtained from sensors include temperature, soil moisture, humidity, health weather conditions. Outlier removal, normalization, feature selection, extraction performed improve quality, selections chosen by using binary slime mould algorithm (SMA). For prediction analytical tasks, bidirectional long short-term memory (Bi-LSTM), gated recurrent unit (GRU) deep learning used classification, anomaly detection prediction. implementation guarantee decentralization records, making transactions safe unchangeable system. Bi-LSTM GRU models accuracy 95.8% 94.6%, respectively, F1, it was 0.96 0.94 GRU. Anomaly achieves 0.93 recall 0.92, significantly outperforming conventional machine models. layer ensures 100% reduces risk tampering 97% compared traditional centralized systems.

Language: Английский

The Construction of a Digital Agricultural GIS Application Suite

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10710 - 10710

Published: Nov. 19, 2024

With the increasing expansion and deepening of GIS applications across diverse industries, limitations industry-specific application systems in terms development efficiency, flexibility, customization have become increasingly apparent. This paper employes concept suites proposes a design approach for tailored digital agriculture, considering its specific requirements. Additionally, it outlines an implementation method based on low-code microservice technologies. A system agriculture was developed to conduct experimental validation. The results indicate that suite this study demonstrates readily deployable characteristics, granular assembly capabilities, ease scalability, facilitating rapid customized agriculture. enhances both efficiency flexibility while meeting needs inherent such applications.

Language: Английский