Laura Mendoza
Papers
1
Total Citations
13
H-Index
1
About
Laura Mendoza is a pioneering researcher at the intersection of artificial intelligence and agri-food technology, with a primary focus on enhancing food quality assessment and supply chain transparency. Her most cited work, "Implementing artificial intelligence to measure meat quality parameters in local market traceability processes" (2024, 13 citations), introduces novel AI-driven sensor systems that automate the quantification and qualification of meat products from various domestic species. This contribution directly addresses critical challenges in local market traceability, offering scalable solutions for real-time quality monitoring. Mendoza's research integrates computer vision, machine learning, and sensor technology to replace subjective manual inspections with objective, data-driven metrics. Her work has significant implications for food safety, consumer trust, and smallholder market integration. By bridging AI innovation with practical agri-food applications, Mendoza is establishing herself as a key figure in sustainable food systems research, with her methodologies poised to influence both academic studies and industry practices in traceability and quality assurance.
Research Focus
Key Achievements
Top Papers
- 1