fao ai4dbp - cawil.ai -digitization of catch origin landing declaration in tuna fisheries
Published 3 years ago • 220 plays • Length 16:48Download video MP4
Download video MP3
Similar videos
-
14:08
fao ai4dbp ai based video analysis for automated catch monitoring in fisheries
-
8:30
fao ai4dbp fao’s fisheries and aquaculture information and knowledge management’ agenda
-
12:56
fao ai4dbp integrating em and reporting technology for fisheries management and compliance
-
12:53
fao ai4dbp tunascope – an ai solution for tuna quality inspection
-
14:20
fao ai4dbp the catchid programme
-
13:14
fao ai4dbp using ai for food narratives in small-scale seafood & aquaculture
-
19:55
fao ai4dbp ai for catch assessment in zambia - “counting fish from forests”
-
17:56
fao ai4dbp using computer vision to evaluate bycatch to enhance fully documented fisheries
-
9:19
fao ai4dbp machine learning in the hawaii longline fisheries
-
10:17
ai4dbp - fishial.ai - citizen science fish species labeled datasets for species recognition
-
7:20
fao ai4dbp - forum welcome address with deputy director of fisheries dr vera agostini
-
10:28
fao ai4dbp using machine learning to differentiate species and count fish in trawl nets
-
15:26
ai4dbp - using ai for recognizing otoliths: a preliminary prototype
-
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
-
21:02
ai for species identification in large scale fishery electronic monitoring (em) systems
-
16:14
fao ai4dbp - data integration for actionable knowledge using machine learning
-
34:13
fao ai4dbp advancing ai in support of noaa’s mission