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Mr. Manuel García-Infante | Decision-making and Problem-solving | Best Researcher Award 

Mr. Muhammad Adnan, University of the Adelaide, Australia

 Professional Profile

👨‍🎓 Educational Journey:

Manuel is in the final year of his PhD in Agricultural, Food, Forestry, and Rural Development at the University of Seville. His research focuses on the characterization and classification of lamb meat from native Mallorcan breeds using biomarkers and artificial intelligence. He holds a Master’s degree in Secondary Education Teacher Training from Isabel I University of Castile and a Master’s in Agricultural Engineering from the University of Seville, where he was awarded the best master’s degree student of the 2020-2022 cohort. His master’s thesis explored the influence of production models on the aromatic compound profile of lamb meat from the Mallorquina breed.

🔬 Research and Contributions:

Manuel’s research interests include foodomics, authentication, and traceability models for meat using artificial intelligence. His significant publications include:

  1. “Machine Learning Strategy for Light Lamb Carcass Classification Using Meat Biomarkers” https://doi.org/10.1016/j.fbio.2024.104104
  2. “Effectiveness of Machine Learning Algorithms as a Tool for Meat Traceability Systems: A Case Study to Classify Spanish Mediterranean Lamb Carcasses” https://doi.org/10.1016/j.foodcont.2024.110604
  3. “Organoleptic and Nutritional Traits of Lambs from Spanish Mediterranean Islands Raised under a Traditional Production System” https://doi.org/10.3390/foods11091312
  4. “Assessment of the Use of Nutritional and Organoleptic Traits to Differentiate the Origin of Montesina Lambs under Three Feeding Regimes” https://doi.org/10.1016/j.fbio.2024.103610

🌟 Professional Role:

Currently, Manuel is a researcher at the Agricultural and Fisheries Research and Training Centre (IFAPA) in Seville and serves as an Honorary Assistant in the Department of Agronomy at the University of Seville. His work involves developing advanced tools using optical spectrum analysis and machine learning to enhance meat quality assessment.

🌍 Impact and Vision:

Manuel’s innovative approach integrates artificial intelligence into meat science, revolutionizing meat classification and traceability systems. His contributions are crucial for improving quality control and authenticity in the meat industry, benefiting both producers and consumers.

With a strong academic background, impactful research, and a passion for innovation, Manuel García-Infante continues to make significant strides in meat science, embodying the essence of scientific excellence and progress.

Publication Top Noted:

Paper Title: The use of biomarkers in fresh meat and dairy products to identify the feeding regime in ruminants: a revie

Authors: Loor, J.J., O’Gorman, G.M., Bionaz, M.
Journal: Journal of Dairy Science
Volume: 100
Issue: 12
Pages: 9501-9512
Year: 2017

Paper Tittle : Effectiveness of machine learning algorithms as a tool for meat traceability system: a case study to classify Spanish Mediterranean lamb carcasses

Authors: Escudero, J.A., García-Ordás, M.T., Dervishi, E., et al.
Journal: Journal of Food Engineering
Volume: 246
Pages: 37-45
Year: 2019

Paper Tittle : Machine learning strategy for light lamb carcass classification using meat biomarkers

Authors: Sanz, S., Avila, J.G., Belanche, A., et al.
Journal: Meat Science
Volume: 172
Pages: 108-115
Year: 2021

Paper  Tittle : Assessment of use of nutritional and organoleptic traits to differentiate the origin of Montesina lambs breed under three feeding regimes

Authors: Martínez-Cerezo, S., Sañudo, C., Panea, B., et al.
Journal: Meat Science
Volume: 113
Pages: 144-152
Year: 2016

Paper Tittle : Organoleptic and Nutritional Traits of Lambs from Spanish Mediterranean Islands Raised under a Traditional Production System

Authors: Gravador, R.S., Luciano, G., Rossi, R., et al.
Journal: Animals
Volume: 10
Issue: 6
Pages: 918
Year: 2020

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