Poultry House Environment Control With Reinforcement Learning: Pilot Study of Welfare Indicators
DOI:
https://doi.org/10.5281/zenodo.22664678Keywords:
Poultry House Environment Control With Reinforcement Learning; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technologyAbstract
Poultry House Environment Control With Reinforcement Learning has moved quickly from a research idea to something a
working farm can actually use, but the evidence behind it has not always kept pace. We pull together the current evidence for
poultry house environment control with reinforcement learning, covering the methodological, practical, governance and cost
angles, with an eye on where practice has genuinely settled and where farms and advisors are still largely working it out for
themselves. Selective, context-specific adoption looks better supported by the evidence gathered here than either broad rollout or
blanket avoidance.
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