📄 agriculture
A data-driven, reduced-input environmental screening framework for dairy heat-risk management
This study demonstrates that a data-driven framework using only dry-bulb temperature and relative humidity, processed via artificial neural networks, can accurately recover conventional dairy heat-stress classifications in a tropical compost barn, offering a streamlined approach for precision livestock management.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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