This feature is available in the below setups:
Basic| Confident| Professional | Expert
Metadata objects play a crucial role in organizing and classifying information in various domains. They consist of two main components: the Category and the Metadata itself. This structure can be compared to the concept of Classes and Instances in Object-Oriented Programming.
To better understand Metadata Objects, let's take a look at some examples:
- Category: Car Metadata: Fiat, Opel, Audi In this example, the category is 'Car', and the individual metadata represents various car manufacturers such as Fiat, Opel, and Audi.
- Category: Tree Metadata: Apple-Tree, Cherry-Tree, Blossom-Tree Here, the category is 'Tree', and the metadata consists of different tree types, such as Apple-Tree, Cherry-Tree, and Blossom-Tree.
- Category: Animals Living in Desert Metadata: Snake, Scorpion This category focuses on animals that inhabit desert environments. The metadata lists examples of such animals, including snakes and scorpions.
- Category: City Infrastructure Metadata: Street, Plaza, Building In this case, the category is 'City Infrastructure', and the metadata encompasses various urban infrastructure elements like streets, plazas, and buildings.
- Category: Irrigation Scheme Metadata: daily irrigation, weekly irrigation, monthly irrigation This category addresses different irrigation schemes, with the metadata describing various time-based schemes like daily, weekly, and monthly irrigation plans.
- Category: Crop Type Metadata: Sandy Loam, Loamy Sand, Sandy In this example, the category is 'Crop Type', and the metadata outlines various soil types, such as Sandy Loam, Loamy Sand, and Sandy.
- Category: Trial Name Metadata: Fertilizer3000, CropCut50, SpeedyCherryV2 This category represents trial names for agricultural experiments, with the metadata including specific trial names like Fertilizer3000, CropCut50, and SpeedyCherryV2.
By creating categories and associating metadata with them, we can efficiently classify and manage information across various fields. This organization helps improve our understanding and analysis of the data, as well as our ability to make informed decisions.
Why exactly you can or should use Metadata in your Setup is described in this article.
Metadata is assigned to a sensor via activation. Find out how to activate a sensor in this article.
- API Documentation
- What is the maximum number of data points I can fetch per call?
- How can I fetch the entity view (device) data starting from the first activation date until NOW date?
- Are entity views the entity used to attach data to the devices (sensors)?
- What is the max size limit returned from the time series API when aggregation is submitted?