As published by AnalyticsWeek — February 2022
Once, the Industrial Internet was the forerunner of the Internet of Things’ vast capacity to revamp data management practices via real-time, and near real-time, data analytics. Today, however, the IoT has become a quotidian part of existence for consumers, industrialists, and enterprises alike with a heightened accessibility that behooves each of these user subsets.
On the one hand, the IoT’s industrial capabilities are well evinced in areas such as food production, where the generation of sensor data is utilized to maintain and optimize crop yield. On the other, these same techniques are responsible for expanding that utility to the cannabis industry and, conceivably, to even the small and medium-sized enterprises or local growers cultivating this crop for cash.
With a balanced synthesis of sensor data, wireless connectivity, and cloud computing, it’s now become easier than ever to access the IoT for a degree of precision and consistency that’s ideal for these use cases. According to METER Group CEO Scott Campbell, for food production this combination is “used to essentially tell you when to stop cooking, or heating, or drying your product. On the cultivation side, in terms of plants that are grown in hydroponics media, it’s used to tell when you should water your plants.”
As always, the true worth of the emission of …
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