Conference Agenda

The generation of agricultural waste is currently a challenge, as its inadequate management has negative impacts on the environment and the economy. In this context, this study conducts a systematic review of the literature on technologies and treatments aimed at recovering agricultural waste under the circular economy approach, a strategy that allows waste to be transformed into resources and integrated into the production cycle. The research was conducted using a non-experimental cross-sectional methodology, following the guidelines of the PRISMA statement. The literature search was conducted in the Scopus, Scielo, and Google Scholar databases, considering articles published since 2020. From an initial total of 547 studies, 23 articles were selected using inclusion and exclusion criteria related to waste type, methodological quality, practical applicability, and link to the circular economy.

The results demonstrate the application of biotechnological processes and recovery technologies such as anaerobic digestion, biorefinery, pyrolysis, and biopolymer production, as well as the use of waste in different industrial sectors. Noteworthy examples include the recovery of corn cobs into pellets with a lower carbon footprint, the use of kiwi waste rich in bioactive compounds for the food, pharmaceutical, and cosmetic industries, the incorporation of coffee grounds as additives in construction materials, and the biosynthesis of nanoparticles from grape pomace. Likewise, some studies incorporate management models supported by digital platforms. In conclusion, the evidence analyzed confirms that the circular economy optimizes agricultural waste management, reduces environmental impacts, promotes innovative business models, and contributes to the achievement of the Sustainable Development Goals

The research aimed to determine the influence of recycled rubber on the structural design of the flexible pavement of Av. América Sur during the year 2025, contributing to safer and more sustainable urban mobility (SDG 11). The study was basic in type, with a quantitative approach and a non-experimental design. The population was composed of the entire avenue, and the sample corresponded to a 400-meter section selected for convenience. The observation technique was applied using a guide based on the PCI and Marshall methods, which made it possible to evaluate the pavement condition and the performance of the mixtures with recycled rubber. The results showed that the pavement was in very poor condition, with a PCI of 19.33 and severe failures such as alligator cracking. Using the AASHTO 93 method, a structural thickness of 61 cm was determined. In the laboratory, the mixtures with rubber exhibited better mechanical performance, with Mix 3 standing out with 36.37 kg/cm² of strength and 0.65% absorption, confirming the positive influence of rubber. In conclusion, the incorporation of recycled rubber proved to be viable and is projected as a sustainable alternative to improve the durability and performance of urban roads.

The research proposes improving the design of a Chinese-type biodigester located in the Chillón Valley by implementing an automatic control system based on PLC. The study starts from the current problem: these biodigesters require high human intervention, have little uniformity in the substrate mixture, and have variations in biogas production due to the lack of controlled agitation. Different types of biodigesters are analyzed, and the Chinese type is selected for its robustness and low cost. For the substrate of guinea pig manure mixed with water, properties such as density and viscosity are determined, which justify the need to install a mechanical agitation system. Based on these properties, the necessary motor power is calculated, determining that a 0.75 kW motor with a marine propeller is adequate to maintain a homogeneous mixture. The volume of biogas produced daily (2,495 m³/d) and its energy potential were also estimated, demonstrating that it can generate useful energy for self-consumption. Finally, an automated system was designed with a PLC, level sensors, contactors, gear motors, and electrical protections, allowing for the control of mixing times, levels, and motor operation without constant intervention. The study concludes that automation is technically and operationally viable, improving process efficiency, reducing human error, and increasing stability in biogas generation.

Circular transition initiatives in Latin America often remain uncoordinated, technically limited, and insufficiently institutionalized, restricting their ability to transform socio-technical structures that perpetuate linear material flows, territorial inequality, and environmental degradation. This article presents a Transformative Innovation Framework to activate regenerative niches in vulnerable regions of Panama. Using a conceptual methodology, the study synthesizes recent literature on multi-level transitions, niche shielding, policy barriers, urban metabolism, exnovation, and transition learning. Results are structured in two layers: (i) synthesis of knowledge gaps and (ii) a coding matrix. Identified transition mechanisms are grouped into twelve categories (M1–M12) and mapped to framework levers (L1–L4) and implementation phases (P1–P3). The synthesis identifies six main findings: transition bottlenecks are largely institutional and coordination-related; early niche protection is essential; capability development is fundamental; scaling follows differentiated pathways; sustained transition requires both innovation support and targeted exnovation; and territorial metabolic intelligence is key for implementation. These findings inform a four-lever framework: territorial diagnostic intelligence (L1), niche orchestration and protective conditions (L2), policy alignment with targeted exnovation (L3), and educational transformation via a skills pipeline (L4). Implementation is structured into three phases: Activation (P1), Education and Demonstration (P2), and Scaling with Exnovation (P3). These phases are supported by three decision tools: Regenerative Niche Readiness Levels, a Circularity–Territorial Justice Matrix, and a Feasibility Decision Pathway. As a pre-implementation study, the focus is on framework development, operational mapping, and decision-support tool design, establishing a foundation for future field validation in Panama and similar Latin American contexts.

This research focuses on the development of a solid stick sunscreen designed to provide effective photoprotection through a practical application format. The methodology followed three main stages: (1) selection of UV filters and components using BASF’s Sunscreen Simulator to estimate the theoretical Sun Protection Factor (SPF), fostering innovation in the cosmetic industry (SDG 9); (2) establishment of the formulation and manufacturing of the solid prototype; and (3) a comparative analysis of physicochemical and sensory properties between the formulated product and a commercial liquid sunscreen. Physicochemical characterization (pH, dropping point) and microbiological testing were conducted to ensure safety using the preservative Euxyl PE 9010. Furthermore, a sensory evaluation assessed texture, scent, color, application, and skin feel. Key results demonstrate that the synergy between physical filters (titanium dioxide and zinc oxide) and chemical filters (Uvinul A Plus, Uvinul MC 80, and Uvinul T 150) ensures broad-spectrum protection, contributing to public health (SDG 3). The formulated sunscreen exhibited a pH of 6.71, a dropping point of 76 °C, and a mesophilic aerobic count of 50 CFU/g, validating its stability and safety. Sensory analysis revealed a high preference for the prototype, with participants only suggesting a more intense aroma. The solid format eliminates the need for water in the formulation and extends shelf life, aligning with sustainable production practices (SDG 12). This study validates the efficacy and stability of the stick format as a viable, sustainable alternative to traditional liquid formulations.

Abstract- The growing generation of municipal solid waste (MSW), driven by urbanization and population growth, has intensified the need for innovative solutions to improve the efficiency and sustainability of recycling systems. In this context, artificial intelligence (AI) is emerging as a key technological enabler within the smart city paradigm. This study developed a systematic literature review (SLR) with the aim of analyzing the advances, challenges, and opportunities associated with the application of AI in the transition to smart recycling. The PICO approach methodology was used to filter the scientific literature in Scopus and Web of Science between 2020 and 2025, from which 35 relevant articles were selected for in-depth analysis. The results show that deep learning models such as convolutional neural networks (CNN), YOLO, EfficientNet, and hybrid models in automatic classification already break the 90% accuracy barrier. This advance renders traditional mechanical classification obsolete, transforming waste logistics into a key part of the circular economy that recovers previously discarded materials. However, high costs, the fragility of models in real environments, and the difficulty of scaling these solutions remain areas for further research. The future looks promising, with the trend pointing toward a convergence between edge computing, collaborative robotics, and blockchain. This technological mix promises a waste management ecosystem that is not only smart, but truly autonomous and sustainable.