All-in all-out management allows for better sanitation and age separation, which reduces pathogen spread and allows for easier data collection for benchmarking. By using online databases, data from different producers and areas can be evaluated, which allows for a more comprehensive view of the data. One of the useful variables to measure is water consumption, as it can be measured automatically and a sudden change can indicate a problem. Noise monitoring can also be measured to detect diseases like influenza. Electronic collection, storage, and analysis of data like these can be used to develop precision agriculture.