From: Detection and analysis of wheat spikes using Convolutional Neural Networks
Wheat | No treatment | Early treatment | Late treatment | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Varieties | Rep1 | Rep2 | Rep3 | Avg | Rep1 | Rep1 | Rep3 | Avg | Rep1 | Rep2 | Rep3 | Avg |
Kukri | 136 | 146 | 141 | 141 | 165 | 160 | 167 | 164 | 148 | 162 | 152 | 154 |
RAC875 | 130 | 148 | 142 | 140 | 154 | 145 | 145 | 148 | 135 | 146 | 142 | 141 |
Excalibur | 145 | 129 | 146 | 140 | 173 | 180 | 172 | 175 | 145 | 159 | 146 | 150 |
Gladius | 142 | 142 | 136 | 140 | 169 | 177 | 176 | 174 | 140 | 156 | 160 | 152 |
Drysdale | 152 | 141 | 145 | 146 | 170 | 178 | 180 | 176 | 159 | 146 | 163 | 156 |
Mace | 158 | 143 | 149 | 150 | 170 | 170 | 164 | 168 | 173 | 167 | 149 | 163 |
Yitpi | 146 | 129 | 142 | 139 | 160 | 161 | 165 | 162 | 150 | 160 | 161 | 157 |
Scout | 135 | 152 | 154 | 147 | 163 | 164 | 168 | 165 | 139 | 158 | 183 | 160 |
Magenta | 133 | 160 | 160 | 151 | 166 | 163 | 166 | 165 | 160 | 147 | 155 | 154 |
Gregory | 149 | 158 | 143 | 150 | 161 | 164 | 155 | 160 | 149 | 160 | 153 | 154 |