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titleNorth Carolina (summer 2022)

Bench #

Barcode

Y coordinates (cm)

X coordinates (cm)

Specie

1

114

0

0

palmer

1

149

70

0

palmer

1

127

0

195

palmer

1

159

72.5

195

palmer

1

119

0

514

Digitaria

1

113

77

514

Digitaria

1

128

0

751

Digitaria

1

148

79

751

Digitaria

1

129

0

979

Soybeans

1

147

79

979

Soybeans

1

121

0

1214

Soybeans

1

119

72

1214

Soybeans

2

156

0

0

cocklebird

2

110

78

0

cocklebird

2

140

0

257

cocklebird

2

139

73

257

cocklebird

2

145

0

534

urochloa

2

111

73

534

urochloa

2

146

0

784

urochloa

2

155

78.5

784

urochloa

2

125

0

1060

nutsedge

2

117

72

1060

nutsedge

2

115

0

1311

nutsedge

2

116

76

1311

nutsedge

3

158

0

0

sicklepod

3

120

82

0

sicklepod

3

131

0

197

sicklepod

3

154

78

197

sicklepod

3

144

0

440

ambrosia

3

150

75

440

ambrosia

3

152

0

687

ambrosia

3

143

79

687

ambrosia

3

142

0

986

goosegrass

3

153

82

986

goosegrass

3

151

0

1237

goosegrass

3

135

83

1237

goosegrass

Dev

Species Locations Shapefiles

What: Global potting area locations of each species group in the form of polygons. A single polygon encompasses one species group is marked as such in the shapefile attribute table. Polygons are created by pulling in the orthomosaic generated from AutoSfM. Shapefiles are created manually but only need to be done once.

Where: QGIS or other GIS software

How: Pull in orthomosaic into QGIS or another GIS software. Create a shapefile and draw polygons around each species group. Create attribute “species” and mark each polygon as such. Save shapefile and place under semif-utils.

When: Once per growing season, a single shapefile for each location.

Why: Polygons are used to provide species labels for each bounding box detection result. The object detection model only detects vegetation but we also want species label information. Because local detection results are scaled to a global coordinate reference system via AutoSfM, they can be compared to larger areas throughout the potting area. An orthomosaic, that provides a visual representation to the global CRS, can be used to manually demarcate species potting groups. Detection results that fall within the polygon area are given species labels of respective polygons.

Note

Species group locations in the potting area must remain constant

Batches

Images

Cutouts

Synthetic Data

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