Apparatus and methods for in-field data collection and sampling
US-2017223947-A1 · Aug 10, 2017 · US
US11086922B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11086922-B2 |
| Application number | US-201314408476-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 25, 2013 |
| Priority date | Jul 4, 2012 |
| Publication date | Aug 10, 2021 |
| Grant date | Aug 10, 2021 |
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Provided is a farm work support device including a reception unit configured to receive designation of plants to be cultivated, a retrieval unit configured to retrieve a vegetation design which is a vegetation combination proper for construction of a mixed and dense growth state of the designated plants, and an output unit configured to output the retrieved vegetation design.
Opening claim text (preview).
The invention claimed is: 1. A farm work support device comprising: at least one hardware processor; and at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to: receive a designation of plants to be cultivated, position information of cultivation sites in a field by a marker-less process, at least an image of each of the designated plants, and additional information observed in the field, at least a portion of which is tagged to at least some of the position information for each respective cultivation site to be superimposed as a plurality of augmented reality tags on the respective images of the designated plants to be cultivated at the respective cultivation sites; retrieve a plurality of stored potential vegetation designs that each include the designated plants to be cultivated, the potential vegetation designs being vegetation combinations proper for construction of a mixed and dense growth state of the designated plants; calculate a symbiotic score for each of the plurality of potential vegetation designs, the symbiotic score being an average value of weighted scores obtained by evaluating prior interaction of the designated plants, the weighted scores including at least a weighted score for each of the designated plants based on yield and the additional information observed in the field; select a vegetation design for cultivation from the plurality of potential vegetation designs based on the symbiotic scores, wherein the selected vegetation design for cultivation includes a new combination of plants based on the additional information observed in the field; and output an image of the selected vegetation design for cultivation with the plurality of augmented reality tags for display on the respective images of the designated plants, wherein at least one augmented reality tag includes information related to a vegetation management task for a respective designated plant in the image of the respective designated plant. 2. The farm work support device according to claim 1 , wherein the instructions cause the at least one hardware processor to select the vegetation design corresponding to a highest symbiotic score of the calculated symbiotic scores. 3. The farm work support device according to claim 1 , wherein the instructions cause the at least one hardware processor to retrieve each of the plurality of stored vegetation designs based on at least one of allelopathy of the plants in a respective stored vegetation design and information regarding crop rotation aptitude of the plants in a respective stored vegetation design. 4. The farm work support device according to claim 1 , wherein the symbiotic score is an average value of crop rotation aptitude scores and allelopathy scores corresponding to each plant in a potential vegetation design. 5. The farm work support device according to claim 1 , wherein the designated plants are to be cultivated according to collaborative farming. 6. The farm work support device according to claim 1 , wherein, after the designated plants are cultivated, the cultivated designated plants are managed based on GPS coordinates of the cultivation sites of the cultivated designated plants. 7. The farm work support device according to claim 6 , wherein, after the designated plants are cultivated, the plurality of augmented reality tags are managed in conjunction with the GPS coordinates of the cultivation sites of the cultivated designated plants. 8. The farm work support device according to claim 7 , wherein, after the designated plants are cultivated, a key event is managed in conjunction with the GPS coordinates of the cultivation sites of the cultivated designated plants. 9. The farm work support device according to claim 8 , wherein a photo of the plants is managed in conjunction with the GPS coordinates of the plants. 10. The farm work support device according to claim 8 , wherein the key event is graphed. 11. The farm work support device according to claim 6 , wherein the field including the cultivation sites is managed hierarchically. 12. The farm work support device according to claim 11 , wherein the field is managed on a map. 13. A farm work support method comprising: receiving a designation of plants to be cultivated, position information of cultivation sites in a field by a marker-less process, at least an image of each of the designated plants, and additional information observed in the field, at least a portion of which is tagged to at least some of the position information for each respective cultivation site to be superimposed as a plurality of augmented reality tags on the respective images of the designated plants to be cultivated at the respective cultivation sites; retrieving a plurality of stored potential vegetation designs that each include the designated plants to be cultivated; calculating a symbiotic score for each of the plurality of potential vegetation designs, the symbiotic score being an average value of weighted scores obtained by evaluating prior interaction of the designated plants, the weighted scores including at least a weighted score for each of the designated plants based on yield and the additional information observed in the field; selecting a vegetation design for cultivation from the plurality of potential vegetation designs based on the symbiotic score, wherein the selected vegetation design for cultivation includes a new combination of plants based on the additional information observed in the field; and outputting an image of the selected vegetation design for cultivation with the plurality of augmented reality tags for display on the respective images of the designated plants, wherein at least one augmented reality tag includes information related to a vegetation management task for a respective designated plant in the image of the respective designated plant. 14. A non-transitory, computer-readable medium storing instructions, which when executed by a processor, cause the processor to perform: receiving a designation of plants to be cultivated, position information of cultivation sites in a field by a marker-less process, at least an image of each of the designated plants, and additional information observed in the field, at least a portion of which is tagged to at least some of the position information for each respective cultivation site to be superimposed as a plurality of augmented reality tags on the respective images of the designated plants to be cultivated at the respective cultivation sites; retrieving a plurality of stored potential vegetation designs that each include the designated plants to be cultivated; calculating a symbiotic score for each of the plurality of potential vegetation designs, the symbiotic score being an average value of weighted scores obtained by evaluating prior interaction of the designated plants, the weighted scores including at least a weighted score for each of the designated plants based on yield and the additional information observed in the field; selecting a vegetation design for cultivation from the plurality of potential vegetation designs based on the symbiotic score, wherein the selected vegetation design for cultivation includes a new combination of plants based on the additional information observed in the field; and outputting an image of the selected vegetation design for cultivation with the plurality of augmented reality tags for display on the respective images of the designated plants, wherein at least one augmented reality tag includes information related
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