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The WIR is made up of five blob containers that store incoming data.
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Upload and Preprocessing
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Upload batches include images and metadata from a single location and capture period
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Ground control point locations csv measured b
Specie map (csv)
Developed
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AutoSfM
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Mapping and Detection
AutoSfM
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The AutoSfM process takes in developed images and ground control point metadata to create a global CRS. An orthomosaic, or collage of stitched images, and detailed camera reference information is generated, the latter being used to convert local image coordinates into global potting area coordinateslocations.
For example, an image 2000 pixels high and 4000 pixels wide has a local center point at (1000, 2000), half its height and half its width, recorded in pixels. A global CRS . Camera reference information allows us to convert this local center point to location on the ground or in the real world in meters.
Detection
Object detection is performed to identify plant locations and create local bounding box coordinates.
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Results
Date | Images | Plants | Unique Cutouts | Total Cutouts |
|---|---|---|---|---|
03/04 | 18 | |||
03/11 | 48 | |||
03/22 | 30 | |||
03/29 | 36 | |||
04/05 | 36 | |||
04/12 | 36 | |||
04/26 | 36 |
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