Non-destructive leaf area estimation model for faba bean (Vicia faba L.)

By E. Pekşen. 2007

181 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/067f98730311620ea73268796141b1492beb898d

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In Food Science

In Plant Science

Citations in the corpus

Allometric models for non-destructive leaf area estimation of Jatropha curcas (2012, background): “The use of simple linear measurement for predicting the LA of horticultural plants eliminates the need for costly leaf area meters [19,22,23].”
A Simple, Cost-Effective Method for Leaf Area Estimation (2011, background): “[36]), faba bean (Peksen [37]), stevia (Ramesh et al.”
Non-destructive estimation of maize leaf area, fresh weight, and dry weight using leaf length and leaf width (2010, unknown): “According to Bland and Altman (1986), cited in Peksen (2007), lack of agreement between predicted values and measured values were evaluated by calculating the relative bias, estimated by the mean of differences (MD) and the standard deviation of a difference (SD).”
Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement (2010, background): “Outlier is defined as: Outlier = 0 if |ri|≤kσ or 1 otherwise (1) where, by default k = 3, and scale σ is computed as corrected median of the absolute residuals (Cankaya et al. 2006, Peksen 2007).”
A modeling study with an artificial neural network: developing estimationmodels for the tomato plant leaf area (2016, unknown): “…RMSE = 4.71, MAE = 3.31, and MAPE = 0.08], and that the ANN method provided a better fit to the actual values; therefore, the ANN model can be used as an alternative method in estimating the leaf area. and Demirsoy, 2006; Peksen, 2007; Fallovo et al., 2008; Kumar, 2009; Demirsoy and Lang, 2010).”