Non-destructive method for estimating leaf area of Ocimum gratissimum L. using leaf dimensions

In addition to its potential source of essential oils used in the perfume, cosmetics, and pharmaceutical industries, the plant shows antibacterial and antifungal properties (Cruz & Bezerra. 2017). A descriptive analysis was performed with data, calculating maximum and minimum values, mean, amplitude, median, standard deviation, standard error, coefficient of variation, asymmetry, andkurtosis coefficient. To determine the most suitable equation to estimate basil leaf area (LA) as a function of linear dimensions of leaves, equations were adjusted using the linear, linear without intercept, quadratic. cubic, power, and exponential regression models. Power model, adjusted using with the product of length by width showed the highest R2 (0.9974), r (0.9980), d (0.9990), and CS index (0.9969), and the lowest AIC (773.8), MAE (0.853), and RMSE (1.264) (Table 2). [...]the equation LA = 0.54·LW103 is die most suitable for prediction basil leaf area through dimensions of leaves, since there was low data dispersion to the model fit (R2 = 0.9974) (Figure 4A).