Using of NDVI and Remote Sensing Dataset for Distinguishing between the wheat and barley crops in Talkeef Districtdoi:10.33899/BERJ.2021.169612Abdulaziz Talaa ManoukSabah Hussein AliMosul University
(512, 440, 414 and 588 nm with 40-nm bandwidth; R2 = 0.81 and NRMSE = 0.17) exhibited the best perfor- mance, while validation with an independent dataset (from a different growing period to those used in the model development) obtained NRMSE values of 0.25 and 0.24, ...
In the multispectral dataset, high r2 values were detected both around HEA and shortly before MAT, which were of the same order of magnitude as in the RGB dataset, except the high predictive power of the multispectral data at 47 DAS in MER. HAL generally had the highest and IPK the ...
For purposes of training neural networks, it was first necessary to reduce the initial reflectance dataset to optimize the range of the input variables. Reflectance data were first reduced by using the 10 nm step and in the range 380–850 nm. Subsequently, principal component analysis (PCA) was...
The dataset was split into calibration and validation parts to be able to predict biomass from the CSM-derived plant heights. Multiple splits of the dataset were considered: using two replications for calibration and one for validation; using one year for calibration and the other for validation...
The physical positions of SNPs exceeding FDR within the linkage disequilibrium interval were used in annotation for high-confidence (HC) candidate gene with other respective information using the barley genome explorer web-based with recent barley genome dataset (BARLEX; http://apex.ipk-gatersleben....
[2]. When following a genomic selection strategy, precision-phenotyping of the training population is most important, because that dataset provides the basis for developing the statistical model that is then used to predict phenotypic performance in related members of a breeding population [3]. The...
For Models 2a and 2b, the data were split into a calibration dataset of 40 kg N/m2 (M2a) and 80 kg N/m2 (M2b). The calibration dataset for Model 3a (M3a) consists of the old cultivars, and for Model 3b (M3b), it consists of the new cultivars. M1 yielded an R2 of 0.79 for...
All experimentally defined thresholds had been chosen for one test dataset and then kept static for the classification and parameterization of the time series dataset. 2.6. Application in a Barley Experiment The manually-labeled plant of measuring day 21 was used for the training of the SVM model...