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. 2022 Jan 17;11(1):149. doi: 10.3390/biology11010149

Table 2.

Traits that can be estimated from high-throughput systems developed within BREEDWHEAT and Phenome-Emphasis projects that can be applied to wheat crops. DL: deep learning, RTM: radiative transfer model, SVM: support vector machine, VI: vegetation index. Colored cell indicate that the corresponding sensor or vector was used to estimate the trait.

Level Trait Method Sensor Configuration Vector Reference
RGB Multispectral LiDAR View Direction Ground Sampling
Distance (cm)
UAV Phenomobile
Canopy Vegetation Index (VI) Band combination 20 [96]
Plant height Structure from motion 1 [97]
Distribution of height ±35° 0.5 [97]
Vegetation Fraction (VF) DL segmentation 0.05 Madec et al. (pers.com)
Height threshold ±35° 0.5 Lopez-Lozano et al. (pers.com)
Green Fraction (GF) SVM/random forest 0°-45° 0.05 Serouart et al. (pers.com)
DL segmentation 0°–45° 0.05 Madec et al. (pers.com)
1D RTM inversion 20 [98]
Green Area Index (GAI) Green fraction turbid 0°–45° 0.05 [99]
1D RTM inversion 0°–45° 20 [100]
3D RTM inversion ±35° 0.05–0.5 [101]
Plant Area Index (PAI) 1D turbid ±35° 0.5 Lopez-Lozano et al. (pers.com)
Fraction of Intercepted Radiation (FIPAR) 1D RTM inversion 20 [102]
Green Fraction turbid 0°–45° 0.05 [103]
1D turbid ±35° 0.5 Lopez-Lozano et al. (pers.com)
Average Inclination Angle (AIA) 1D RTM inversion 20 [102]
1D turbid 0°–45° 0.05 Liu et al. (pers.com)
1D turbid ±35° 0.5 Lopez-Lozano et al. (pers.com)
3D inversion ±35° 0.05–0.5 [103]
Canopy Chlorophyll Content (CCC) 1D RTM inversion 0°–45° 20 [104]
VI empirical 20 [105]
VI empirical 0.05 [106]
3D Distribution of Area 1D turbid ±35° 0.5 Lopez-Lozano et al. (pers.com)
Organ Plant density DL at emergence 45° 0.05 [107]
Stem density DL at harvest 0.02 [108]
Stem diameter DL at harvest 0.02 [108]
Ear density DL at reproductive stage 0.05 [109]
Leaf Chlorophyll Content 1D RTM inversion 20 [105]
VI empirical 0.05 Jay et al. (pers.com)
VI empirical 0.05 Jay et al. (pers.com)