Controlled agricultural systems and methods of managing agricultural systems
The present disclosure relates to different techniques of controlling an agricultural system, as for example a controlled agricultural system, an agricultural light fixture and a method for agricultural management. Furthermore, the disclosure relates to an agricultural system, which comprises a plurality of processing lines for growing plants of a given plant type, wherein a first processing line in the plurality of processing lines is configured to move a first plurality of plants through the agricultural system along a route; and apply a first growth condition to the first plurality of plants to satisfy a first active agent parameter for the first plurality of plants.
1. A platform, comprising:
a plurality of semantic converters, wherein each semantic converter is configured to translate between a specific data format and a common semantic model, wherein the platform supports a plurality of input categories and a plurality of output categories, and each input category and each output category is associated with a different common semantic model;
a communications interface configured to communicate with a plurality of third-party sources; and
a processor configured to:
receive a plurality of inputs including a first input from a subset of third-party sources including a first third-party source, wherein the first input is formatted in a first data format and each of the plurality of inputs is classified in a first input category associated with the first common semantic model;
identify semantic converters associated with each third-party source in the subset of third-party sources, including identifying a first semantic converter from the plurality of semantic converters that is associated with the first third-party source; and
convert each of the plurality of inputs into the first common semantic model using the identified semantic converters, including converting the first input into a first common semantic model using the first semantic converter.
2. The platform of claim 1 , wherein the first third-party source comprises a device or an application.
3. The platform of claim 1 , wherein the processor is further configured to:
receive a second input from a second third-party source, wherein the second input is formatted in a second data format;
identify a second semantic converter from the plurality of semantic converters that is associated with the second third-party source; and
convert the second input into the first common semantic model using the second semantic converter.
4. The platform of claim 1 , wherein the processor is further configured to:
generate output data in a second common semantic model;
identify a second semantic converter from the plurality of semantic converters that is associated with the first third-party source;
convert the output data into a first output using the second semantic converter; and
transmit, via the communications interface, the first output to the first third-party source.
5. The platform of claim 1 , wherein the processor is further configured to:
generate output data to be transmitted to a secondary subset of third-party sources, wherein the output data is classified in a first output category associated with a second common semantic model;
identify semantic converters associated with each third-party source in the secondary subset of third-party sources;
convert the output data from the second common semantic model into a plurality of outputs using the identified semantic converters, each of the plurality of outputs associated with a different third-party source in the secondary subset of third-party sources; and
transmit, via the communications interface, each of the plurality of outputs to the associated third-party source.
6. The platform of claim 1 , wherein the plurality of semantic converters are implemented as at least one of configuration files, software drivers, or microservices.
7. The platform of claim 1 , wherein each of the plurality of semantic converters is associated with one of the plurality of third-party sources.
8. A method of processing data, comprising:
receiving, at a communications interface, a plurality of inputs including a first input from a subset of third-party sources including a first third-party source, wherein the communications interface communicates with the plurality of third-party sources including the first third-party source, and each of the plurality of inputs is classified in a first input category associated with the first common semantic model;
identifying, by a processor, semantic converters associated with each third-party source in the subset of third-party sources, including a first semantic converter from a plurality of semantic converters that is associated with the first third-party source, wherein each semantic converter is configured to translate between a specific data format and a common semantic model, the processor supports a plurality of input categories and a plurality of output categories, and each input category and each output category is associated with a different common semantic model; and
converting, by the processor, each of the plurality of inputs into a first common semantic model using the identified semantic converters, including the first input into the first common semantic model using the first semantic converter.
9. The method of claim 8 , wherein the first third-party source comprises a device or an application.
10. The method of claim 8 , further comprising:
receiving, at the communications interface, a second input from a second third-party source, wherein the second input is formatted in a second data format;
identifying, by the processor, a second semantic converter from the plurality of semantic converters that is associated with the second third-party source; and
converting, by the processor, the second input into the first common semantic model using the second semantic converter.
11. The method of claim 8 , further comprising:
generating, by the processor, output data in a second common semantic model;
identifying, by the processor, a second semantic converter from the plurality of semantic converters that is associated with the first third-party source; converting, by the processor, the output data into a first output using the second semantic converter; and
transmitting, by the communications interface, the first output to the first third-party source.
12. The method of claim 8 , further comprising:
generating, by the processor, output data to be transmitted to a secondary subset of third-party sources, wherein the output data is classified in a first output category associated with a second common semantic model;
identifying, by the processor, semantic converters associated with each third-party source in the secondary subset of third-party sources;
converting, by the processor, the output data from the second common semantic model into a plurality of outputs using the identified semantic converters, each of the plurality of outputs associated with a different third-party source in the secondary subset of third-party sources; and
transmitting, by the communications interface, each of the plurality of outputs to the associated third-party source.
13. The method of claim 8 , wherein the plurality of semantic converters are implemented as at least one of configuration files, software drivers, or microservices.
14. The method of claim 8 , wherein each of the plurality of semantic converters is associated with one of the plurality of third-party sources.
15. The method of claim 8 , further comprising:
adding, by the processor, a new semantic converter associated with a new third-party source to the plurality of semantic converters;
receiving, at the communications interface, a new input from the new third-party source;
identifying, by the processor, the new semantic converter from the plurality of semantic converters; and
converting, by the processor, the new input into a second common semantic model using the new semantic converter.