World Aquaculture 2023

May 29 - June 1, 2023

Darwin, Northern Territory, Australia

Iot, Automation and Machine Learning

Tuesday, May 30, 2023 11:20 - 13:00 Room 3
Chair: Regis Bador

  • 11:20
    Maxime Paris

    USING IOT-POWERED IN SITU AND EARTH OBSERVATION DATA TO IMPROVE FARMERS’ ANTICIPATION CAPACITIES OF ANOXIA AND HARMFUL ALGAE BLOOMS IN AQUACULTURE

  • 11:40
    Lukman Hakim

    PREDICTING DISEASE OCCURRENCE IN SHRIMP PONDS USING GENERATIVE NETWORK AND ENSEMBLE LEARNING

  • 12:00
    Lukman Hakim

    YOLO V8 FOR ESTIMATION OF SHRIMP BODY WEIGHT FROM IMAGES

  • 12:20
    Dino Milotic

    HOW TO BREED FAT, EXPENSIVE FISH – DEVELOPING CT SCANNING FOR YELLOWTAIL KINGFISH Seriola lalandi