… the principal variable selection from features extracted from UAV-derived imagery for winter
wheat grain yield … Selection results showed that plant height related variable derived at …

… select principal UAV-derived parameters on winter wheat along the growing season that
contribute most in explaining grain yield… These variables were import into two variable selection …

… perspective for crop yield prediction and breeding selection. … to evaluate the data based
on UAV-derived RGB, MS, Texture… Furthermore, in the prediction of winter wheat yield, the …

… wheat varieties; (3) to estimate grain yield of winter durum … varieties, Enola and Anapurna,
of winter wheat (Triticum aestivum L.) on … filling UAV-derived data. Other studies [19] report that …

… useful in assessing field variability and predict grain yield at least a month before harvesting.
… The multivariate statistical technique of principal component analysis (PCA) was applied to …

… with the principal components of the image variables yielded R … of N deficiency affecting grain
yield and grain protein [14,15]. … canopy, and the use of PHT UAV derived from crop surface …

… In the RFE variable selection process, this study … variations in reflecting the growth status
of winter wheat. Therefore, the modeling and analysis should use the appropriate VIs selected …

… [13] improved the accuracy of winter wheat yield estimation by … use principal component
analysis (PCA), recursive feature … is also closely related to feature selection, as shown in Figure 5…

… relationship between biomass accumulation and grain yield [46], … treatments have been
imposed to increase variability [4], we … In light of the issues surrounding variable selection, ROI …

… Real-time monitoring of the growth status of winter wheat not … , playing a crucial role in the
grain production process [1]. … Utilizing the model’s predicted values, principal component …