> This study highlights the importance of data science and how this type of methodology can be built and integrated into operation to help bees and their pollination services. Thus, we can monitor hives remotely and more accurately. Over time, as we learn to interpret sensors and use them to monitor changes in the state of operations, this will help us to progress from inert hives to intelligent hives and, eventually, to genius hives ...  -- Braga, Antonio Rafael, et al. "A method for mining combined data from in-hive sensors, weather and apiary inspections to forecast the health status of honey bee colonies." Computers and Electronics in Agriculture 169 (2020): 105161.

> We have not identified any specific temperature, relative humidity or acoustic ranges, differentials or benchmarks as each beekeeper is dealing with a different context, but we do suggest that local beekeepers will be able to determine their own benchmarks that are applicable in their own context. -- Jones, K. M., et al. "Evaluation of Low-Cost, Non-Invasive Hive Monitoring Tools for Overwintering Honeybee Hives." Journal of the NACAA 12.1 (2019).

> Due to a significant colony effect, suggesting that each colony behaved differently, we could not make generalizations about differences ...  -- Li, Zhiyong, et al. "Drone and worker brood microclimates are regulated differentially in honey bees, Apis mellifera." PloS one 11.2 (2016).

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These excerpts show how confidence in correlating internal hive conditions with colony survival has changed over time. plb

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