Device for detecting plant stress and method for detecting plant stress
US-2018284016-A1 · Oct 4, 2018 · US
US10448585B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10448585-B2 |
| Application number | US-201715812041-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 14, 2017 |
| Priority date | Nov 14, 2017 |
| Publication date | Oct 22, 2019 |
| Grant date | Oct 22, 2019 |
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Various arrangements for visual control of a network-enabled irrigation system are presented. In some embodiments, a video stream of an outdoor location that can include a lawn may be captured. The video stream of the outdoor location may be transmitted to a cloud-based irrigation management server system. The lawn may be monitored for a period of time using the video stream. Based on monitoring the lawn for the period of time, a visual change in a state of the lawn may be identified. Based on the visual change in the state of the lawn, an adjustment of an irrigation program of the network-enabled irrigation system may be determined. An irrigation control message may be transmitted to the network-enabled irrigation system that alters an irrigation schedule for the lawn.
Opening claim text (preview).
What is claimed is: 1. A method for visual control of a network-enabled irrigation system, the method comprising: capturing, using one or more network-enabled video cameras, one or more video streams of an outdoor location, wherein the outdoor location comprises a lawn; transmitting, by the one or more network-enabled video cameras, the one or more video streams of the outdoor location to a cloud-based irrigation management server system via the Internet; monitoring, by the cloud-based irrigation management server system, the lawn for a period of time using the one or more video streams; performing a visual irrigation learning process, wherein the visual irrigation learning process comprises determining one or more types of sprinkler heads installed in the lawn; identifying, by the cloud-based irrigation management server system, based on monitoring the lawn for the period of time, a visual change in a state of the lawn; determining, based on the visual change in the state of the lawn, adjustment of an irrigation program of the network-enabled irrigation system; and transmitting, by the cloud-based irrigation management server system, an irrigation control message to a controller unit of the network-enabled irrigation system via the Internet, wherein the irrigation control message causes the network-enabled irrigation system to alter an irrigation schedule for the lawn. 2. The method for visual control of the network-enabled irrigation system of claim 1 , wherein monitoring the lawn for the period of time using the one or more video streams comprises the cloud-based irrigation management server system determining a duration during which sunlight is directly incident on at least a portion of the lawn. 3. The method for visual control of the network-enabled irrigation system of claim 1 , wherein monitoring the lawn for the period of time using the one or more video streams comprises: occasionally storing a frame from the one or more video streams of the outdoor location such that a plurality of frames are stored, each frame of the plurality of frames having a timestamp; and comparing at least a subset of the plurality of frames. 4. The method for visual control of the network-enabled irrigation system of claim 1 , wherein identifying the visual change in the state of the lawn based on monitoring the lawn for the period of time comprises: identifying, by the cloud-based irrigation management server system, a color change of the lawn over the period of time. 5. A method for visual control of a network-enabled irrigation system, the method comprising: capturing, using one or more network-enabled video cameras, one or more video streams of an outdoor location, wherein the outdoor location comprises a lawn; performing, by a cloud-based irrigation management server system, a visual irrigation learning process, wherein the visual irrigation learning process comprises: activating each zone of a plurality of zones of the network-enabled irrigation system sequentially; and while each zone of the plurality of zones of the network-enabled irrigation system is activated, monitoring the one or more video streams of the outdoor location; based on monitoring the one or more video streams of the outdoor location, mapping each zone of the plurality of zones of the network-enabled irrigation system to a corresponding portion of the outdoor location; storing a data structure that maps each zone of the plurality of zones to the corresponding portion of the outdoor location; transmitting, by the one or more network-enabled video cameras, the one or more video streams of the outdoor location to the cloud-based irrigation management server system via the Internet; monitoring, by the cloud-based irrigation management server system, the lawn for a period of time using the one or more video streams; identifying, by the cloud-based irrigation management server system, based on monitoring the lawn for the period of time, a visual change in a state of the lawn; determining, based on the visual change in the state of the lawn, adjustment of an irrigation program of the network-enabled irrigation system; and transmitting, by the cloud-based irrigation management server system, an irrigation control message to a controller unit of the network-enabled irrigation system via the Internet, wherein the irrigation control message causes the network-enabled irrigation system to alter an irrigation schedule for the lawn. 6. A method for visual control of a network-enabled irrigation system, the method comprising: capturing, using one or more network-enabled video cameras, one or more video streams of an outdoor location, wherein the outdoor location comprises a lawn; transmitting, by the one or more network-enabled video cameras, the one or more video streams of the outdoor location to a cloud-based irrigation management server system via the Internet; performing a visual irrigation learning process, wherein the visual irrigation learning process comprises: determining that a first zone and a second zone of a plurality of irrigation zones overlap; and transmitting, by the cloud-based irrigation management server system, a notification to a user linked with a user account that is linked with the network-enabled irrigation system, wherein the notification is indicative of the overlap between the first zone and the second zone; monitoring, by the cloud-based irrigation management server system, the lawn for a period of time using the one or more video streams; identifying, by the cloud-based irrigation management server system, based on monitoring the lawn for the period of time, a visual change in a state of the lawn; determining, based on the visual change in the state of the lawn, adjustment of an irrigation program of the network-enabled irrigation system; and transmitting, by the cloud-based irrigation management server system, an irrigation control message to a controller unit of the network-enabled irrigation system via the Internet, wherein the irrigation control message causes the network-enabled irrigation system to alter an irrigation schedule for the lawn. 7. The method for visual control of the network-enabled irrigation system of claim 1 , further comprising: identifying, by the cloud-based irrigation management server system, based on monitoring the lawn for the period of time, a recommended physical change to be made to the network-enabled irrigation system; and transmitting, by the cloud-based irrigation management server system, a notification to a user linked with a user account that is linked with the network-enabled irrigation system, wherein the notification is indicative of the recommended physical change to be made to the network-enabled irrigation system. 8. A method for visual control of a network-enabled irrigation system, the method comprising: capturing, using one or more network-enabled video cameras, one or more video streams of an outdoor location, wherein the outdoor location comprises a lawn; transmitting, by the one or more network-enabled video cameras, the one or more video streams of the outdoor location to a cloud-based irrigation management server system via the Internet; monitoring, by the cloud-based irrigation management server system, the lawn for a period of time using the one or more video streams; identifying, by the cloud-based irrigation management server system, based on monitoring the lawn for the period of time, a recommended physical change to be made to the network-enabled irrigation system, wherein the recommended physical change is selected from a group consisting of: a change in a spray pattern of a sprinkler of the network-enabled irrigation system; a change in a sprinkler type of the sprinkler of th
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