Managing Food Waste Through Gamification and Serious Games: A Systematic Literature Review

Information, Год журнала: 2025, Номер 16(3), С. 246 - 246

Опубликована: Март 19, 2025

Household food waste poses significant environmental, social, and financial challenges. This systematic literature review examines the role of games gamification in mitigating waste, addressing four key research questions: how these interventions are applied, their impact on attitudes behaviors, specific mechanisms employed, measured outcomes. The analysis identifies a range strategies, including mobile applications, serious games, educational platforms, interactive installations. Theoretical frameworks such as Theory Planned Behavior, emotional engagement, systems thinking, cognitive load theory underpin interventions. Findings suggest that can enhance awareness, knowledge, behavioral change, with some demonstrating measurable reductions waste. However, limitations lack long-term engagement data, varying effectiveness across socio-economic contexts, inconsistencies measurement remain Notable interventions—including MySusCof Exspiro apps like FoodFighters PadovaGoGreen—show promising results but require further validation diverse settings. highlights both potential gamified emphasizing need for standardized approaches longitudinal studies to assess sustained reduction.

Язык: Английский

Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4856 - 4856

Опубликована: Апрель 27, 2025

In medium- and large-scale poultry farms, automated systems optimize key processes, from egg production grading to environmental control, reducing manual labor ensuring an optimal environment for the birds. However, these technologies remain largely inaccessible small family farms due high implementation costs. particular, selection of laying hens, essential process productivity, is still performed manually requires considerable time effort. This study presents development a modular, low-cost, minimally invasive IoT system automatic detection hens in family-run farms. Additionally, enables monitoring utilizes LoRaWAN networks efficient long-range data transmission. The collected are stored on centralized platform integrated with web, mobile, messaging applications provide real-time access information. modular architecture, developed using open-source software, ensures replicability, scalability, adaptability different environments. feasibility has been validated through field trials real-world environment, demonstrating effective performance, low costs, farmer satisfaction, user highlighting its positive impact farm management.

Язык: Английский

Smart Probiotic Solutions for Mycotoxin Mitigation: Innovations in Food Safety and Sustainable Agriculture

Probiotics and Antimicrobial Proteins, Год журнала: 2025, Номер unknown

Опубликована: Май 2, 2025

Язык: Английский