Growing consumer demand for sustainable food products has amplified the use of “green” marketing claims, yet transnational agri-food supply chains face a critical “perception–reality gap” due to data fragmentation and the absence of independent verification, fostering significant greenwashing risks. This study explores how the synergistic integration of Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) can bridge this gap. Utilizing a PRISMA-inspired qualitative systemic analysis and scenario modeling, we propose the “Converging Technologies for Sustainable Agri-Food” (CTSAF) model, formalized through a mathematical Green Claim Veracity Index (Vi) and AI-driven anomaly detection algorithms. The analysis evaluates three maturity-level scenarios against expert-calibrated Key Performance Indicators (KPIs). Results demonstrate that while traditional and blockchain-only systems remain vulnerable to the “Oracle Problem”, the integrated CTSAF model (Scenario III) achieves “Very High” performance in data accuracy and audit efficiency. By transforming passive record-keeping into an autonomous governance layer, this framework provides a strategic roadmap for substantiating environmental claims in alignment with the EU Green Claims Directive and the Digital Product Passport framework.

Regenerative agriculture (RA) offers a critical pathway for climate change mitigation and adaptation, yet its implementation is often hindered by conceptual ambiguity and a lack of standardized assessment frameworks. This study employs a comparative systemic analysis, integrated with a Failure Mode and Effects Analysis (FMEA) framework, to evaluate the resilience of medium-sized RA farms (50–200 ha)—a segment representing the professional backbone of European agriculture—under varying infrastructural and policy conditions. By synthesizing recent standardized metrics from the global literature, the research constructs three operational contexts: Context A (Integrated High-Performance), characterized by robust support and digital monitoring; Context B (Transitional/Fragmented), reflecting partial adoption with limited resources; and Context C (Maladaptive), representing systemic barriers. The results reveal a significant “Resilience Gap” between theoretical potential and practical reality. Specifically, the analysis identifies that ecological practices alone (e.g., cover cropping, no-till) are insufficient to guarantee economic resilience without the support of Monitoring, Reporting, and Verification (MRV) systems. In transitional contexts, the inability to verify ecosystem services prevents farmers from accessing financial buffers, rendering the system vulnerable to climate shocks. This study concludes that enhancing RA resilience requires a paradigmatic shift from practice-based subsidies to outcome-based incentives, underpinned by accessible MRV technologies and standardized socio-economic indicators.

Thousands of species of parasitic weeds, such as dodder, pose significant threats to agricultural crops due to their ability to spread rapidly through seeds. When cultivated lands become infested with dodder, the quality of production declines, leading to substantial damage. The most effective way to limit the infestation of agricultural lands by parasitic weeds, particularly dodder, is to control the quality of seeds intended for sowing. To obtain seed material free of dodder seeds, special separation machines equipped with magnetic drums are used. These machines operate on the principle of magnetic fields acting on ferromagnetic particles, which helps differentiate the physical states of the seeds intended for separation. This paper presents experimental research on magnetic drum separation techniques for removing dodder seeds from alfalfa seed mixtures. The study examines variables such as magnetic drum speed, feed rate, amounts of iron powder, water, solution (water and glycerin), and the initial content of dodder seeds. The experimental results indicated that using a water–glycerin solution at optimal concentrations for moistening the seeds enhances the separation efficiency of dodder seeds from alfalfa seed mixtures, compared to using only water. Additionally, the numerical content of dodder seeds in the A and C sorts, which primarily contain the seeds of the main crop, decreases with each pass through the machine, resulting in higher quality seed material. The research found that using appropriate parameters—drum rotation speed (20 rpm), iron powder quantity (19 g/min), and seed feed rate (25.39 g/s)—achieved a “free” classification for dodder in alfalfa seeds. These findings are valuable for evaluating the performance of separation equipment with magnetic drums to obtain high-quality seed material. They are also beneficial for designers, machine-building units, and economic agents specializing in this field.

The transition to a circular economy depends on the widespread adoption of sustainable products by consumers. However, the point-of-sale purchase decision is a complex process, influenced not only by ethical arguments but also by sensory cues. This study investigates how the aesthetics (visual design) and materiality (tactile sensation) of green products shape value perception and purchase intention. Using a qualitative methodology based on a focus group, the research directly compares consumer reactions to green products (e.g., a bamboo toothbrush) versus their conventional alternatives (e.g., plastic). Thematic analysis of the data reveals a fundamental dichotomy among consumers: while one segment associates high-tech aesthetics and perfect finishes with quality and hygiene, another segment values natural materials and their “imperfections” as signs of authenticity and responsibility. The results demonstrate that there is no single, universally accepted “sustainable aesthetic” and highlight the need for designers and marketers to align the visual and tactile language of products with the value system of the target consumer segment. The study provides a framework for understanding how design can act as either a barrier to or a catalyst for the adoption of sustainable products.

In the pursuit of a circular economy, the substitution of conventional polymers with compostable materials such as polylactic acid (PLA) has emerged as a primary strategy. However, the environmental performance of these materials is highly dependent on the post-consumer system. Based on a systemic analysis methodology, this paper investigates this performance paradox. Using a compostable coffee capsule made from PLA as a case study, the research compares its designed, ideal end-of-life (EoL) pathway (industrial composting) with its probable real-world fate within existing waste management infrastructures (landfilling and recycling stream contamination). The analysis of these scenarios reveals a significant gap between the product’s intended function and its actual environmental impact, showing that in realistic contexts, intended benefits are often unrealized and negative outcomes may occur. This study yields results that can inform more robust and systemic sustainable design strategies, highlighting the need to align product design with real-world infrastructural capabilities.

Organic foods, functioning as credence goods in sustainable consumption, compel consumers to rely on extrinsic cues for quality evaluation. To address this challenge, this study employs a qualitative, phenomenological approach, conducting ten in-depth, semi-structured interviews with Romanian organic food consumers. The resulting data were systematically analyzed through thematic analysis to uncover decision-making patterns. The findings reveal a sequential hierarchy in which credible transnational certification (the EU organic logo) serves as a non-negotiable gatekeeper of trust, followed by country of origin—particularly local—which functions as an emotional and heuristic differentiator signaling authenticity and freshness, while price acts as a pragmatic arbiter, mediating trade-offs between ideal preferences and budget constraints. Based on these findings, this study proposes the Trust–Emotion–Pragmatism model as a nuanced framework for understanding organic food choice, suggesting that local producers can enhance competitiveness by first establishing trust through certification, then leveraging the emotional appeal of local origin, and finally adopting effective pricing strategies.