Daniel Múgica

ORCID: 0000-0002-9592-8914
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About
Contact & Profiles
Research Areas
  • Smart Agriculture and AI
  • Species Distribution and Climate Change
  • Insect and Arachnid Ecology and Behavior
  • Insect Resistance and Genetics
  • Genomics and Phylogenetic Studies

Euskadiko Parke Teknologikoa
2024

Estimation of damage in plants is a key issue for crop protection. Currently, experts the field manually assess plots. This time-consuming task that can be automated thanks to latest technology computer vision (CV). The use image-based systems and recently deep learning-based have provided good results several agricultural applications. These applications outperform expert evaluation controlled environments, now they are being progressively included non-controlled A novel solution based on...

10.1016/j.aiia.2024.06.001 article EN cc-by-nc-nd Artificial Intelligence in Agriculture 2024-06-07
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