fao ai4dbp mobile ai for species id and enhanced aquaculture stakeholder knowledge
Published 3 years ago • 125 plays • Length 17:13Download video MP4
Download video MP3
Similar videos
-
8:30
fao ai4dbp fao’s fisheries and aquaculture information and knowledge management’ agenda
-
14:38
fao ai4dbp recfish: engaging recreational anglers as community scientists using ai
-
20:59
fao ai4dbp integrating ai in electronic monitoring (em) systems for accurate verifiable data
-
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
-
31:33
fao ai4dbp sustainable fish farming using ai in tunisia
-
9:19
fao ai4dbp machine learning in the hawaii longline fisheries
-
13:14
fao ai4dbp using ai for food narratives in small-scale seafood & aquaculture
-
16:31
fao ai4dbp the development of a mobile fish phenotyping device
-
16:48
fao ai4dbp - cawil.ai -digitization of catch origin landing declaration in tuna fisheries
-
12:14
artificial intelligence for a digital blue planet – summary from fao workshop, 28–30 june 2021
-
13:53
fao ai4dbp - fishid - a smart monitoring tool for aquatic ecosystem monitoring
-
9:08
fao ai4dbp iot/ ml based low cost monitoring systems for small-scale precision aquaculture
-
16:35
fao ai4dbp big data indonesia style - connecting communities across the oceans
-
9:19
ai4dbp - cardiff and exeter university - mapping disease and distribution of fish using ai
-
7:20
fao ai4dbp - forum welcome address with deputy director of fisheries dr vera agostini
-
1:33
fao-wur: science & innovation for more efficient, inclusive, resilient, sustainable agrifood systems
-
4:56
fish for the future: aquaculture and food security