Leaf Area Estimation of Garden Boldo From Linear Dimensions

Rapid estimation of sunflower leaf area from linear measurements

Leaf area estimation by a simple and non-destructive method

In this study, the relation between leaf area and its dimensions was estimated using a non-destructive method. This method is based on this fact that the leaf shape does not change during the growing season. In this method, leaf area during the growing season is estimated based on the dimensions of the smallest leaf in the initial stage of plant growth or at any growth stage by measuring the le...

Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less.

Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using th...

Quick Estimation of Apple (Red Delicious and Golden Delicious) Leaf Area and Chlorophyll Content

ABSTRACT- The evaluation of leaf area and leaf nutritional value is important for crop growth modeling and estimations of its performance. The purpose of this study was to use image processing techniques to develop an economical method to ease the assessment of nutrient status and leaf area (LA) of plants and to compare the outcomes of this method with linear models. Leaf area and leaf chloroph...

Estimation of Leaf Area in Coneflower (Echinacea purpurea L.) Using Independent Variables

Leaf area information is required in various horticultural and physiological studies and it will be more useful if done via non-destructive methods. The objective of this study was to establish equations to estimate leaf area (LA) using length (L), width (W), fresh weight (FW), dry weight (DW), length × length (L2), width × width (W2), length × width (L×W), length + width (L+W), fresh weight × ...