Six RGB-derived VIs were used in this study. They were the blue green index (BGI); red-green ratio (RGR); normalized plant pigment ratio (NPPR); normalized green red difference index (NGRDI); normalized chlorophyll pigment index (NCPI); and plant pigment ratio (PPR) (Table4). The sel...
Aglaonema commutatum ‘Red Valentine’, as a foliage ornamental plant, is widely used for interior and exterior decoration because of its easy cultivation and management. However, reduced proportion of red foliage during large-scale production of A. comm
Moreover, the two leaf trait values increased with decreasing severity of pest and disease based on the leaf trait visualization map using the optimal SPA-RF model. We conclude that the combination of SPA-RF model and hyperspectral imaging had great potential in detecting the spatial distribution ...
respectively. FI values of bands in a range of 351–1350 nm were then derived from the algorithm outputs. Figure6presents the distribution of FI estimated using RF at different bands. It can be seen that FI values for the three plants show a different distribution pattern. Overall, the FI...
Indices related to photosynthetic pigment absorption, chlorophyll fluorescence emission, and canopy structure were determined (Gonzalez-Dugo et al., 2015). In the study, the normalized difference vegetation index (NDVI) resulted in poor yield prediction, potentially due to considerably large terminal ...
demonstrated that N deficiency might impair key functions from light-harvesting antenna pigments of photosystem II to the acceptor side of photosystem I. The light harvesting complex (LHC) proteins are members of a superfamily that can bind to chlorophyll and carotenoid to form pigment-protein complex...
On OA surface greyish sepia with patches of dirty white, and an umber pigment diffusing into agar. On MEA surface pale ROLYDFHRXV JUH\ ZLWK SDWFKHV RI GLUW\ ZKLWH ROLYDFHRXV JUH\ in reverse. Specimens examined: Turkey: Hatay: Merkez, on Pistacia terebinthus, 2012, K. Sarpkaya (CPC...
8) showed that the RRMSE values of measured and simulated datasets of the unstratified RF-LNAnon model were 23.7% and 26.5%, respectively, while the accuracy of the RF-LNASum model, considering vertical heterogeneity, was markedly higher than that of the unstratified RF-LNAnon model. The ...
predictor features. As shown inTable 2, the overall accuracies and kappa values based on spectral bands alone were 84.6% and 0.79 with RF, and 71.4% and 0.62 with SAM, respectively. After incorporating NRI, the overall accuracy and kappa with the RF method increased to 90% and 0.87, ...
The results obtained by the RF algorithm indicate that the performance of this approach was satisfactory for the differentiation of study classes, since high values were observed for the performance metrics evaluated such as the overall accuracy, sensitivity, specificity, F1 score and area under the ...