Application of machine learning to identify predators of stocked fish in Lake Ontario: using acoustic telemetry predation tags to inform management

Agriculture & Biology

• acoustics 68%
• aquatic environment 15%
• artificial intelligence 83%
• Coregonus 20%
• ecosystem management 20%
• fish 40%
• food webs 15%
• forage fish 18%
• Lake Ontario 100%
• learning 12%
• methodology 7%
• predation 56%
• predators 52%
• Salmonidae 15%
• Salvelinus namaycush 81%
• taxonomy 20%
• telemetry 83%

Earth & Environmental Sciences

• acoustics 57%
• aquatic environment 13%
• detection 16%
• ecosystem-based management 18%
• fish 42%
• food web 13%
• lake 41%
• machine learning 70%
• predation 66%
• predator 60%
• rate 9%
• removal 7%
• salmonid 16%
• stocking 32%
• supervised learning 19%
• telemetry 78%