Image data for improving and diagnosing sprinkler controller performance
Systems and methods for diagnosing and facilitating repair of system components and/or improving watering schedules are disclosed. In one embodiment, a method of diagnosing a sprinkler system component is disclosed that includes initiating a sprinkler system zone run for a particular zone of a sprinkler system, capturing image data for the sprinkler system run, uploading the image data to a network node, processing the image data at the network node to produce data on the sprinkler system or a sprinkler system component, and generating an action item for the sprinkler system or sprinkler system component based on the data produced at the network node.
1. A method of adjusting water parameters in a sprinkler system, the method comprising:
initiating a sprinkler system zone run for a zone of a sprinkler system;
automatically initiating a capture of image data for the sprinkler system zone run with the initiation of the sprinkler system zone run;
transmitting the image data to a network node;
receiving image data processed at the network node, wherein the processed data includes data on vegetation health of vegetation contained within the image data, and water parameter data; and
adjusting the water parameters for the sprinkler system based on the water parameter data produced at the network node.
2. The method of claim 1 , wherein initiating the capture of the image data includes recording a video from a camera associated with a user device.
3. The method of claim 2 , wherein the user device used to capture the image data additionally is used to transmit the image data to the network node.
4. The method of claim 2 , wherein the operations of initiating the sprinkler system zone run and the initiating of the capture of the image data are simultaneously triggered through user actuation of an icon provided in a user interface provided by the user device.
5. The method of claim 1 , wherein the processed data comprises a comparison of the image data compared to an image database.
6. The method of claim 1 , wherein the processed data comprises a result of an analysis of the image data to determine types of vegetation contained therein by comparison of pixels associated with the image data to a color database of the types of vegetation ranging from different conditions to determine health of the vegetation captured in the image data.