Integrating IOTA’s Tangle with the Internet of Things for Sustainable Agriculture: A Proof-of-Concept Study on Rice Cultivation

IF 3.4 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sandro Pullo, Remo Pareschi, Valentina Piantadosi, Francesco Salzano, Roberto Carlini
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Abstract

Addressing the critical challenges of resource inefficiency and environmental impact in the agrifood sector, this study explores the integration of Internet of Things (IoT) technologies with IOTA’s Tangle, a Distributed Ledger Technology (DLT). This integration aims to enhance sustainable agricultural practices, using rice cultivation as a case study of high relevance and reapplicability given its importance in the food chain and the high irrigation requirement of its cultivation. The approach employs sensor-based intelligent irrigation systems to optimize water efficiency. These systems enable real-time monitoring of agricultural parameters through IoT sensors. Data management is facilitated by IOTA’s Tangle, providing secure and efficient data handling, and integrated with MongoDB, a Database Management System (DBMS), for effective data storage and retrieval. The collaboration between IoT and IOTA led to significant reductions in resource consumption. Implementing sustainable agricultural practices resulted in a 50% reduction in water usage, 25% decrease in nitrogen consumption, and a 50% to 70% reduction in methane emissions. Additionally, the system contributed to lower electricity consumption for irrigation pumps and generated comprehensive historical water depth records, aiding future resource management decisions. This study concludes that the integration of IoT with IOTA’s Tangle presents a highly promising solution for advancing sustainable agriculture. This approach significantly contributes to environmental conservation and food security. Furthermore, it establishes that DLTs like IOTA are not only viable but also effective for real-time monitoring and implementation of sustainable agricultural practices.
将 IOTA 的 Tangle 与物联网相结合,促进可持续农业:水稻种植概念验证研究
针对农业食品行业资源效率低下和环境影响的严峻挑战,本研究探讨了物联网(IoT)技术与 IOTA 的分布式账本技术(DLT)Tangle 的整合。鉴于水稻在食物链中的重要性以及水稻种植对灌溉的高要求,这项研究以水稻种植为案例,旨在加强可持续农业实践。该方法采用基于传感器的智能灌溉系统来优化用水效率。这些系统可通过物联网传感器实时监测农业参数。IOTA 的 Tangle 可提供安全高效的数据处理,并与数据库管理系统(DBMS)MongoDB 集成,实现有效的数据存储和检索。物联网和 IOTA 之间的合作大大减少了资源消耗。实施可持续农业实践后,用水量减少了 50%,氮消耗量减少了 25%,甲烷排放量减少了 50% 至 70%。此外,该系统还降低了灌溉泵的耗电量,并生成了全面的历史水深记录,有助于未来的资源管理决策。这项研究的结论是,将物联网与 IOTA 的 Tangle 系统集成在一起,为推进可持续农业提供了一个极具前景的解决方案。这种方法极大地促进了环境保护和粮食安全。此外,它还证明了像 IOTA 这样的 DLT 对于实时监控和实施可持续农业实践不仅是可行的,而且是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Informatics
Informatics Social Sciences-Communication
CiteScore
6.60
自引率
6.50%
发文量
88
审稿时长
6 weeks
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