Mikel Barrio-Conde

ORCID: 0009-0004-6586-1116
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About
Contact & Profiles
Research Areas
  • Data Stream Mining Techniques
  • Conservation Techniques and Studies
  • Technology Adoption and User Behaviour
  • Quality and Safety in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Spectroscopy and Chemometric Analyses
  • Building Energy and Comfort Optimization
  • Air Quality Monitoring and Forecasting
  • Smart Agriculture and AI
  • Microfinance and Financial Inclusion
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Advances in Cucurbitaceae Research
  • Digital Transformation in Industry
  • Mobile Health and mHealth Applications
  • Fault Detection and Control Systems
  • FinTech, Crowdfunding, Digital Finance
  • Technology Use by Older Adults

Universidad de Valladolid
2021-2023

Sunflower seeds, one of the main oilseeds produced around world, are widely used in food industry. Mixtures seed varieties can occur throughout supply chain. Intermediaries and industry need to identify produce high-quality products. Considering that high oleic oilseed similar, a computer-based system classify could be useful The objective our study is examine capacity deep learning (DL) algorithms sunflower seeds. An image acquisition system, with controlled lighting Nikon camera fixed...

10.3390/s23052471 article EN cc-by Sensors 2023-02-23
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