ai for species identification in large scale fishery electronic monitoring (em) systems
Published 3 years ago • 797 plays • Length 21:02Download video MP4
Download video MP3
Similar videos
-
14:08
fao ai4dbp ai based video analysis for automated catch monitoring in fisheries
-
20:59
fao ai4dbp integrating ai in electronic monitoring (em) systems for accurate verifiable data
-
17:29
fao ai4dbp electronic visual monitoring challenges and developments with ai
-
13:53
fao ai4dbp - fishid - a smart monitoring tool for aquatic ecosystem monitoring
-
3:54
catch-up | ai guide 002 | globally scaling fishery electronic monitoring with ai
-
9:19
fao ai4dbp machine learning in the hawaii longline fisheries
-
11:29
ai4dbp - azti & marine instruments - integrating ai in electronic monitoring systems
-
10:28
fao ai4dbp using machine learning to differentiate species and count fish in trawl nets
-
10:17
ai4dbp - fishial.ai - citizen science fish species labeled datasets for species recognition
-
31:33
fao ai4dbp sustainable fish farming using ai in tunisia
-
17:05
fao ai4dbp - gramener - ai for the marine environment, biodiversity conservation & social good
-
9:19
ai4dbp - cardiff and exeter university - mapping disease and distribution of fish using ai
-
17:56
fao ai4dbp using computer vision to evaluate bycatch to enhance fully documented fisheries
-
3:12
the cfi in action: ecosystem approach to fisheries (eaf)
-
16:48
fao ai4dbp - cawil.ai -digitization of catch origin landing declaration in tuna fisheries
-
8:30
fao ai4dbp fao’s fisheries and aquaculture information and knowledge management’ agenda
-
15:26
ai4dbp - using ai for recognizing otoliths: a preliminary prototype
-
16:14
fao ai4dbp - data integration for actionable knowledge using machine learning