Distributed Ledgers, such as Blockchain and the IOTA Tangle, offer secure, transparent, and decentralized solutions that can streamline decision-making processes in agriculture. IOTA, in particular, stands out as a fee-less and scalable architecture designed to support real-time data transmission from Internet-of-Things sensors. This makes it a promising candidate for enhancing agricultural monitoring and management. This study systematically evaluates IOTA’s potential to meet the specific needs of agriculture using the Protocol Search Appraisal Synthesis Analysis Report (PSALSAR) methodology. The IOTA Tangle provides an efficient framework for precision farming by enabling seamless data exchange without the high transaction costs typical of traditional blockchain technologies. The research also highlights how this Distributed Ledger Technologies can enhance the monitoring of environmental factors, optimize resource usage, improve traceability of the production chain and ultimately contribute to more sustainable farming practices.

The Ph.D research project aims to explore the potential of the Decentralized Autonomous Organization paradigm in conjunction with classic software architectures for Artificial Intelligence applications. The intended goal is to investigate and formalize a possible integration path between Multi-agent System architectures and Decentralized Autonomous Organizations. Starting from the Foundation for Intelligent Physical Agents standards, we will extend basic primitives to integrate Multi-agent Systems on Distributed Ledger Technology networks. Possible deployment of services and applications in the Internet-of-Things, Artificial Intelligence and Distributed Machine Learning areas will be tested. Application of Data Analysis techniques on datasets built on such a framework will be also addressed.