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ATRP-E16: AI-SLAMS (Artificial Intelligence driven Smart Low-cost Ammonia Monitoring System)
This episode covers the AI-SLAMS (Artificial Intelligence-driven Smart Low-cost Ammonia Monitoring System) project. The project aims to identify challenges and opportunities and develop technology concepts and workforce training plans for developing and deploying a smart poultry farm ammonia monitoring system.
The latest episode of the Georgia Tech Research Podcast covers the AI-SLAMS (Artificial Intelligence-driven Smart Low-cost Ammonia Monitoring System) project.
The project is part of the NSF Convergence Accelerator 2023 cohort for phase one to advance solutions and critical areas. AI-SLAMS brings together insights and advances in chemical sensing, material science/nanotechnology, poultry science, manufacturing, AI, and data science. The project aims to identify challenges and opportunities and develop technology concepts and workforce training plans for developing and deploying a smart poultry farm ammonia monitoring system. This will help ensuring health growth, adequate weight gain, and welfare of birds, in association supportive worker safety on the farm.
In this podcast episode, project lead Dr. Judy Song of GTRI is joined by research team members Dr. Brian Fairchild, a UGA poultry science professor, and Dr. Doug Britton, manager of GTRI's Agricultural Technology Research Program (ATRP).
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