This CERN-style open-science briefing presents Version 3.0 of the Pure-Milk Green Finance Matrix, an integrated agritech framework designed to resolve the global tension between intensive dairy production and freshwater protection. Building on earlier versions, it introduces a four-stage on-farm water treatment architecture combining biomimetic hydrodynamic shearing, advanced materials, opto-acoustic cleaning, and magnetic water conditioning. The system captures nitrates and nutrients at the farm gate, recirculates them into decentralized aeroponic forage production, reduces enteric methane, and delivers purified water to livestock while eliminating chemical cleaning and frequent filter replacement. Powered by multi-source environmental energy harvesting (solar, thermoelectric, and triboelectric), the framework transforms environmental compliance from a cost burden into a high-yield, closed-loop asset class. It aims to protect New Zealand’s $28+ billion dairy export engine, eliminate multi-billion-dollar water cleanup liabilities, and position the country as an exporter of regenerative agritech intellectual property. DOI: 10.5281/zenodo.21587166 Keywords Pure-Milk Green Finance Matrix Agritech Singularity Regenerative dairy farming On-farm nitrate capture Closed-loop nutrient cycling Biomimetic water filtration Aeroponic forage systems Methane reduction Sustainable intensification New Zealand dairy Green finance Water-energy-food nexus Zero-waste agriculture Carbon and nutrient recovery Precision agritech
Open access
2 source records
Phosphorus and nutrient management
Agriculture Sustainability and Environmental Impact
Béthel Atohoun, A. Charbel Atihou, Mikaël A. Mousse, Mithelle M. J. Alavo
To overcome the structural limitations of traditional hydroponic systems—inefficient input management, lack of verifiable traceability, high energy consumption, and absence of adaptive optimization—this paper presents an innovative architecture that synergistically integrates Distributed Ledger Technology (DLT), Internet of Things (IoT), and Artificial Intelligence (AI) to optimize resource management in controlled hydroponic environments. The proposed architecture constitutes a hybrid DTL, IoT and IA system founded on six principles: radical distribution of trust, defense in depth, verifiable trust through cryptographic proofs, modularity, native interoperability, and scalability. It comprises a distributed intelligent sensor network, a low-cost edge computing cluster, optimized artificial intelligence modules, and a DLT infrastructure based on Hyperledger Fabric with Raft consensus. Experimental results, obtained through system simulation on a 100 m² greenhouse and validated by partial prototyping, demonstrate robust operational performance: average latency of 847 ms from sensor to blockchain, throughput of 150 transactions per second, availability of 99.7%, support for 500 simultaneous sensors, and energy autonomy of 14 months. AI models achieve 96.3% accuracy in nutritional prediction, with pH prediction error of 0.08 units and EC error of 15 µS/cm. DDPG orchestration converges after 45 days with stabilization of the reward function. Comparative analysis reveals significant advantages: 18% yield increase, 15% reduction in input costs, 22% decrease in energy consumption during peak pricing periods, and 40% improvement in total cost of ownership over 5 years.
Jamilya Nurgazina, Stefan Killian, Florian Taurer, Pamela C. Nolz · 6 authors
Aquaponics-based food production (AFP) has been receiving increased attention among practitioners, but is still relatively unknown to the public and is not yet widely adopted in the European region. This paper explores the potential of distributed ledger technologies, the Internet of Things, and encryption methods for a secure and distributed storage of critical AFP information in the supply chain. The usage of a distributed ledger can enable a tamper-proof log of events across the supply chain, which increases trust and awareness among authorities, corporate partners, and end consumers. The findings of this study include a developed decentralized knowledge sharing framework with proposed user interface designs based on IOTA, ESP32 sensors, and an attribute-based encryption scheme to enable transparency and secure knowledge exchange among novice and prospective aquaponics farmers, thus facilitating the adoption of AFP practices in the local community. This paper presents the benefits and feasibility of the developed conceptual framework based on initial experimental results in a laboratory environment.
Ken Huang, Youwei Yang, Fan Zhang, Xi Chen · 5 authors
Chapter 8 analyzes the transformative impact of non-fungible tokens (NFTs) in redefining digital ownership, authenticity, and value. Grounded in blockchain technology, NFTs have initiated a paradigm shift closely aligned with the tenets of the New Economy and the Self-Sovereign Internet. The New Economy is characterized by decentralized, digital, and disintermediated transactions, while the Self-Sovereign Internet aims to return data control to individual users. We examine the underlying technical architecture that makes NFTs unique, including blockchain protocols and metadata, illustrating how they foster transparency and individual control. The chapter also delves into the expansive applicability of NFTs across sectors such as art, sports, gaming, and real estate, elucidating their role in catalyzing new forms of economic activity. Moreover, we consider future trends in NFT innovation and responsible governance practices that align with the ideals of individual data ownership and decentralization. By dissecting these aspects, the chapter offers a nuanced perspective on the role of NFTs in shaping future digital interactions and economic models.