From Wastewater to Sustainability: Tackling Heavy Metal Contamination in Agriculture with Conventional and AI Techniques DOI
Ijaz Hussain,

Adnan Majeed,

Sawsan S. Al-Rawi

et al.

Chemistry Africa, Journal Year: 2025, Volume and Issue: unknown

Published: May 23, 2025

Language: Английский

Managing Food Waste Through Gamification and Serious Games: A Systematic Literature Review DOI Creative Commons
Ezequiel França dos Santos, Catarina Sevivas, Vı́tor Carvalho

et al.

Information, Journal Year: 2025, Volume and Issue: 16(3), P. 246 - 246

Published: March 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.

Language: Английский

Citations

1
Low-Cost IoT and LoRaWAN-Based System for Laying Hen Identification in Family Poultry Farms DOI Creative Commons

Roberto Finistrosa,

C. Mañoso, A.P. de Madrid

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4856 - 4856

Published: April 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.

Language: Английский

Citations

0
Smart Probiotic Solutions for Mycotoxin Mitigation: Innovations in Food Safety and Sustainable Agriculture DOI
Alice Njolke Mafe,

I. H. Nkene,

Ali B. M. Ali

et al.

Probiotics and Antimicrobial Proteins, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Language: Английский

Citations

0
From Wastewater to Sustainability: Tackling Heavy Metal Contamination in Agriculture with Conventional and AI Techniques DOI
Ijaz Hussain,

Adnan Majeed,

Sawsan S. Al-Rawi

et al.

Chemistry Africa, Journal Year: 2025, Volume and Issue: unknown

Published: May 23, 2025

Language: Английский

Citations

0