Server of crop growth stage determination system, growth stage determination method, and storage medium storing program
US-11935282-B2 · Mar 19, 2024 · US
US2016283791A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016283791-A1 |
| Application number | US-201414777549-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 17, 2014 |
| Priority date | Mar 25, 2013 |
| Publication date | Sep 29, 2016 |
| Grant date | — |
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The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.
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1 . A method comprising: obtaining image information of an organism comprising a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, wherein the image information comprises at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, wherein the at least two image capture devices capture the set of image data from at least two positions. 2 . The method of claim 1 , further comprising transferring the anticipated harvest time to an outside party. 3 . The method of claim 2 , wherein the outside party is at least one of a retailer, a general consumer, a restaurant, and a food producer. 4 . The method of claim 1 , wherein the visible image data is generated based on a demosaiced RGB pixel signal. 5 . The method of claim 1 , wherein the non-visible image data is generated based on a demosaiced R and IR signal. 6 . The method of claim 1 , wherein the non-visible image data is generated based on a R and IR signal without demosaicing. 7 . The method of claim 1 , wherein the visible image data is generated based on a demosaiced RGB pixel signal, and wherein the near-infrared ray image data is generated based on a demosaiced R and IR signal. 8 . The method of claim 1 , wherein the visible image data is generated based on a demosaiced RGB pixel signal, and wherein the near-infrared ray image data is generated based on a R and IR signal without demosaicing. 9 . The method of claim 1 , wherein the set of optical data is obtained using a stack type image sensor, wherein the stack type image sensor has a blue light sensor layer stacked on a green light sensor layer, wherein the green light sensor layer is stacked on a red light sensor layer, and wherein the red light sensor layer is stacked on an near-infrared ray (NIR) sensor layer. 10 . The method of claim 1 , wherein the set of optical data is obtained using an image sensor comprising a set of RGB color filters provided over a laminated film, wherein the laminated film comprises at least one of SiO and SiN, and wherein the set of RGB color filters comprise a FR color filter, a FG color filter, and a FB color filter. 11 . The method of claim 1 , wherein the set of optical data is obtained using an image sensor comprising a set of RGB color filters provided over a set of infrared (IR) cut filters, wherein the set of IR cut filters is provided over a set of image sensors. 12 . The method of claim 1 , further comprising calculating a parallax image data based on at least two of the image data from the set of image data obtained from the at least two image capture devices; and calculating the growth index based on the parallax image data, wherein the at least two of the image data are captured from at least one of: two angles and the at least two positions by the at least two image capture devices. 13 . A system comprising: an image capture device, wherein at least one of the server and the image capture device is configured to: obtain image information of an organism comprising a set of optical data; calculate a growth index based on the set of optical data; and calculate an anticipated harvest time based on the growth index, wherein the image information comprises at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, wherein the at least two image capture devices capture the set of image data from at least two positions. 14 . The system of claim 13 , further comprising a server, wherein the image capture device is in communication with the server. 15 . The system of claim 14 , wherein the at least one of the server and the image capture device is further configured to transfer the anticipated harvest time to an outside party. 16 . The system of claim 13 , wherein the visible image data is generated based on a demosaiced RGB pixel signal. 17 . The system of claim 13 , wherein the non-visible image data is generated based on a demosaiced R and IR signal. 18 . The system of claim 13 , wherein the non-visible image data is generated based on a R and IR signal without demosaicing. 19 . The system of claim 13 , wherein the set of optical data is obtained using a stack type image sensor, wherein the stack type image sensor has a blue light sensor layer stacked on a green light sensor layer, wherein the green light sensor layer is stacked on a red light sensor layer, and wherein the red light sensor layer is stacked on an near-infrared ray sensor layer. 20 . The system of claim 13 , wherein the set of optical data is obtained using an image sensor comprising a set of RGB color filters provided over a laminated film, wherein the laminated film comprises at least one of SiO and SiN, and wherein the set of RGB color filters comprise a FR color filter, a FG color filter, and a FB color filter. 21 . The system of claim 13 , wherein the set of optical data is obtained using an image sensor comprising a set of RGB color filters provided over a set of infrared (IR) cut filters, wherein the set of IR cut filters is provided over a set of image sensors. 22 . The system of claim 13 , wherein the at least one of the server and the image capture device is further configured to: calculate a parallax image data based on at least two of the image data from the set of image data obtained from the at least two image capture devices; and calculate the growth index based on the parallax image data, wherein the at least two of the image data are captured from at least one of: two angles and the at least two positions by the at least two image capture devices. 23 . A tangible, non-transitory computer-readable medium having stored thereon instructions that cause a processor to execute a method, the method comprising: obtaining image information of an organism comprising a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, wherein the image information comprises at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, wherein the at least two image capture devices capture the set of image data from at least two positions. 24 . The computer-readable medium of claim 23 , wherein the method further comprises transferring the anticipated harvest time to an outside party. 25 . The computer-readable medium of claim 23 , wherein the outside party is at least one of a retailer, a general consumer, a restaurant, and a food producer. 26 . The computer-readable medium of claim 23 , wherein the visible image data is generated based on a demosaiced RGB pixel signal. 27 . The computer-readable medium of claim 23 , wherein the non-visible image data is generated based on a demosaiced R and IR signal. 28 . The computer-readable medium of claim 23 , wherein the method further comprises calculating a parallax image data based on at least two of the image data from the set of image data obtained fr
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