HIGHLIGHTS
- who: Limnol. Oceanogr. et al. from the CNRS d`Ocu00e9anographie de Villefranche, Villefranche-sur-Mer, France Universidade have published the paper: Machine learning techniques to characterize functional traits of plankton from image data, in the Journal: (JOURNAL)
- what: The approaches the authors discuss are data agnostic and are broadly applicable to imagery of other aquatic or terrestrial organisms. This approach has revealed cryptic patterns in plankton communities, such as the morphological characteristics of particulate matter in the global ocean and the feeding habits of marine copepods along an Arctic sea-ice gradient (Trudnowska et_al 2021 . . .
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