scholarly journals Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis

2021 ◽  
Vol 39 (2) ◽  
pp. 205-215
Author(s):  
Israel A Hernández-Fernandéz ◽  
Alfredo Jarma-Orozco ◽  
Marcelo F Pompelli
Keyword(s):  
Leaf Area ◽  
Linear Models ◽  
Stevia Rebaudiana ◽  
Leaf Length ◽  
Area Measurement ◽  
Complete Analysis ◽  
Statistical Criterion ◽  
Power Models ◽  
Non Destructive ◽  
Statistical Criteria

ABSTRACT Leaf area measurement is pivotal for plant physiologists. Hence, accurate measurement of their leaf area is incredibly relevant in agronomic terms. The plant Stevia rebaudiana is a sucrose-free plant species that is now vital to the global production of sucrose-free foods. Here, we estimated S. rebaudiana leaf area using a nondestructive methodology comprising allometric equations. Through leaf length (L), leaf width (W), and/or their product (LW) the leaf area was determined. One thousand leaves were sampled from four distinct S. rebaudiana genotypes for model construction. Linear or power models were generated, and the best equation was selected using a statistical criterion. The statistical criteria indicated that the linear models best suited all genotypes tested, included a function of LW, exhibited increased stability, and precisely estimated coefficients. ANOVA revealed that both generalized and combined equations were feasible. Nevertheless, grouping all genotypes into a single model was not possible as the genotype leaf architectures were very dissimilar.

scholarly journals Non-destructive Estimation of Spinach Leaf Area: Image Processing and Artificial Neural Network Based Approach

2020 ◽  
pp. 146-153
Author(s):  
Naveen Kumar Mahanti ◽  
Upendar Konga ◽  
Subir Kumar Chakraborty ◽  
V. Bhushana Babu
Keyword(s):  
Image Processing ◽  
Leaf Area ◽  
Linear Models ◽  
Measurement Techniques ◽  
Area Measurement ◽  
Image Processing Techniques ◽  
Spinach Leaf ◽  
Processing Techniques ◽  
Non Destructive ◽  
Better Than

Leaf area (LA) measurement provides valuable key information in understanding the growth and physiology of a plant. Simple, accurate and non-destructive methods are inevitable for leaf area estimation. These methods are important for physiological and agronomic studies. However, the major limitations of existing leaf area measurement techniques are destructive in nature and time consuming. Therefore, the objective of the present work is to develop ANN and linear regression models along with image processing techniques to estimate spinach leaf area making use of leaf width (LW) and length (LL) and comparison of developed models performance based on the statistical parameters. The spinach leaves were grown under different nitrogen fertilizer doses (0, 50, 100, 150, 200, 250, 300, 350 and 400 kg N/ha). The morphological parameters length (LL), width (LW) and area (LA) of leaves were measured using an image-processing software. The performance LA= -0.66+0.64 (LL × LW) (R2 = 0.98, RMSE = 3.25 cm2) equation was better than the other linear models. The performance of the ANN model (R2 = 0.99, RMSE = 3.10 cm2) was better than all other linear models. Therefore, developed models along with image processing techniques can be used as a non-destructive technique for estimation of spinach leaf area.

scholarly journals A linear model for leaf area measurement to screen potential leaf material for herbal drug in Adhatoda vasica L.

2016 ◽  
Vol 8 (1) ◽  
pp. 140-143
Author(s):  
J. V. Thaker ◽  
R. P. Kuvad ◽  
V. S. Thaker
Keyword(s):  
Water Content ◽  
Leaf Area ◽  
Linear Model ◽  
Plant Species ◽  
Linear Models ◽  
Dry Weight ◽  
Nondestructive Method ◽  
Area Measurement ◽  
Adhatoda Vasica ◽  
Linear Correlations

Leaf area is an important parameter in physiology and agronomy studies. Linear models for leaf area measurement are developed for plant species as a nondestructive method. The plant Adhatoda vasica L. (a medicinal plant) was selected and the leaves of this plant were used for development of linear model for leaf area using Leaf Area Meter (LAM) software. Planimetric parameters (length, length2, width and width2) and gravimetric (dry weight and water content) parameters are considered for the development of linear model for this plant species. Single factor ANOVA and linear correlations were worked out using these parameters and leaf area. The plant was showed significant relationship with the parameters studied. The best correlation as represented by regression coefficient (R2) was used and improved R2 is worked out. It is observed that with increase in leaf area, water content is also increased and showed best correlation with the leaf area. Thus water content can be taken as a parameter for developing linear model for leaf area is concluded.

scholarly journals Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

2018 ◽  
Vol 40 (6) ◽  
Author(s):  
Marlúcia Pereira dos Santos ◽  
Victor Martins Maia ◽  
Fernanda Soares Oliveira ◽  
Rodinei Facco Pegoraro ◽  
Silvânio Rodrigues dos Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Regression Models ◽  
Carbon Fixation ◽  
Pearson Correlation ◽  
Leaf Length ◽  
Total Leaf Area ◽  
Total Leaf ◽  
Pearson Correlation Analysis ◽  
Biometric Measurements ◽  
Non Destructive

Abstract The estimation of pineapple total leaf area by simple, fast and non-destructive methods allow inferences related to carbon fixation estimative, biotic and abiotic damages and correlating positively with yield. The objective was to estimate D leaf area and total leaf area and of ‘Pérola’ pineapple plants from biometric measurements. For this purpose, 125 slips were selected and standardized by weight for planting in pots. Nine months after planting in a greenhouse, the plants were harvested to evaluate the total leaf area of the plant, D leaf area and D leaf length and width using a portable leaf area meter. Pearson correlation analysis was made and it was observed significative positive and strong correlation among the studied variables. Then, regression models were adjusted. It was observed that the D leaf area of ‘Pérola’ pineapple can be estimated from the length and width of this same leaf and the total leaf area can be estimated from the D leaf area.

scholarly journals Models for estimating yacon leaf area

2016 ◽  
Vol 34 (3) ◽  
pp. 422-427 ◽  
Author(s):  
Wellington A Erlacher ◽  
Fábio L Oliveira ◽  
Gustavo S Fialho ◽  
Diego MN Silva ◽  
Arnaldo HO Carvalho
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Scientific Information ◽  
Leaf Size ◽  
Leaf Length ◽  
Logarithmic Model ◽  
Area Estimate ◽  
Independent Variable ◽  
Precision And Accuracy ◽  
Non Destructive

ABSTRACT The recent exploration of yacon demands scientific information for improving the crop production technology. This study aimed to set a leaf area estimate model for yacon plants, using non-destructive measurements of leaf length (L) and/or width (W). Sixty-four representative yacon plants were randomly selected in an experimental field during the full vegetative growth. One thousand leaves of various sizes were taken from those plants for setting and validating a model. The logarithmic model best fitted this purpose, the result of multiplying length by width being used as independent variable. Yacon leaf area can be determined with high precision and accuracy by LALW = (-27.7418 + (3.9812LW / ln LW ) , disregarding the leaf size.

scholarly journals A non-destructive method for estimating onion leaf area

2015 ◽  
Vol 54 (1) ◽  
pp. 17-30 ◽  
Author(s):  
J.I. Córcoles ◽  
A. Domínguez ◽  
M.A. Moreno ◽  
J.F. Ortega ◽  
J.A. de Juan
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Infrared Imaging ◽  
Imaging System ◽  
Biomass Accumulation ◽  
Leaf Length ◽  
Irrigation Season ◽  
Indirect Methods ◽  
Total Leaf ◽  
Non Destructive

AbstractLeaf area is one of the most important parameters for characterizing crop growth and development, and its measurement is useful for examining the effects of agronomic management on crop production. It is related to interception of radiation, photosynthesis, biomass accumulation, transpiration and gas exchange in crop canopies. Several direct and indirect methods have been developed for determining leaf area. The aim of this study is to develop an indirect method, based on the use of a mathematical model, to compute leaf area in an onion crop using non-destructive measurements with the condition that the model must be practical and useful as a Decision Support System tool to improve crop management. A field experiment was conducted in a 4.75 ha commercial onion plot irrigated with a centre pivot system in Aguas Nuevas (Albacete, Spain), during the 2010 irrigation season. To determine onion crop leaf area in the laboratory, the crop was sampled on four occasions between 15 June and 15 September. At each sampling event, eight experimental plots of 1 m2were used and the leaf area for individual leaves was computed using two indirect methods, one based on the use of an automated infrared imaging system, LI-COR-3100C, and the other using a digital scanner EPSON GT-8000, obtaining several images that were processed using Image J v 1.43 software. A total of 1146 leaves were used. Before measuring the leaf area, 25 parameters related to leaf length and width were determined for each leaf. The combined application of principal components analysis and cluster analysis for grouping leaf parameters was used to reduce the number of variables from 25 to 12. The parameter derived from the product of the total leaf length (L) and the leaf diameter at a distance of 25% of the total leaf length (A25) gave the best results for estimating leaf area using a simple linear regression model. The model obtained was useful for computing leaf area using a non-destructive method.

scholarly journals Non-Destructive Model to Predict Commelina diffusa Leaf Area

2018 ◽  
Vol 35 (0) ◽  
Author(s):  
L.B. CARVALHO ◽  
E.A. ALVES ◽  
S. BIANCO
Keyword(s):  
Linear Equation ◽  
Leaf Area ◽  
Leaf Length ◽  
Leaf Width ◽  
Perennial Crops ◽  
Simple Linear Equation ◽  
Non Destructive

ABSTRACT: Leaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples.

scholarly journals Estimation of Single Leaf Area of Acacia mangium Willd

2019 ◽  
pp. 1-7
Author(s):  
Vinicius De Souza Oliveira ◽  
Jean Karlos Barros Galote ◽  
Ivani Vieira Damaceno ◽  
Natália de Souza Furtado ◽  
Karina Tiemi Hassuda Dos Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Linear Models ◽  
Acacia Mangium ◽  
Absolute Error ◽  
Single Leaf ◽  
The North ◽  
Independent Variable ◽  
Student’S T ◽  
Non Destructive ◽  
Student’S T Test

The objective of this study was to determine the best equation for estimating the leaf area of ​​Acacia mangium Willd. from the linear dimensions of the leaflets of non-destructive form. For this, 476 leaflets of plants belonging to Lajeado farm were collected in the municipality of Ecoporanga, in the north of the State of Espírito Santo, Brazil. From each leaflet was determined the length (L) along the main midrib, the largest width (W), the product of the multiplication between the length and the width (LW) the observed leaf area (OLA). For the modeling, we used 382 leaflets in which OLA was the dependent variable in function of L, W or LW as independent variable, being adjusted the linear models of first degree, quadratic and power. For the validation, the values ​​of L, W and LW of 94 leaflets were replaced in the equations obtained in the modeling thus obtaining the estimated leaf area (ELA). The means of ELA and OLA were compared by Student's t test at 5% probability. . It was also determined the mean absolute error (MAE), the root mean square error (RMSE) and Willmott's index d. In order to select the best equation, the following criteria were used: : not significant of the comparison of the means of ELA and OLA, values ​​of MAE and RMSE with closer to zero and index d closer to one. The power model equation represented by is the most adequate to predict the leaf area of ​​Acacia mangium Willd. quickly and non-destructively.

Method for Non-Destructive Measurement of Leaf Area Based on Binocular Vision

2014 ◽  
Vol 577 ◽  
pp. 664-667 ◽  
Author(s):  
Li Zhao ◽  
Li Li Yang ◽  
Shi Gang Cui ◽  
Xing Li Wu ◽  
Fan Liang ◽  
...  
Keyword(s):  
Leaf Area ◽  
Binocular Vision ◽  
Digital Camera ◽  
Area Measurement ◽  
Geometric Distortion ◽  
Digital Cameras ◽  
Two Dimensional Image ◽  
Modern Agriculture ◽  
Destructive Measurement ◽  
Non Destructive

Modern agriculture is developing towards the direction of intelligent. We can realize the nondestructive measurement of plant leaf area by using the digital camera. In this paper, we make the same ratio between the camera’s screen and the background plate to overcome the problem of geometric distortion. Then we use two perpendicular digital cameras from the front and side to collect images respectively for curved leaf. Because there are characteristics of the image grey value mutation on the rage of the vane, we can extract the leaf by image segmentation. The leaf area can be calculated by the statistic of the pixels number according to the projection principle. Experiments show that, the error of leaf area measurement reduces from 13.51% to 5.93% by binocular vision. So this method not only can get the measurement of leaf area data, but also can effectively avoid the two-dimensional image distortion and improve the accuracy of leaf area calculation.

scholarly journals Identifikasi Nilai Konstanta Bentuk Daun untuk Pengukuran Luas Daun Metode Panjang Kali Lebar pada Tanaman Hortikultura di Tanah Gambut

2015 ◽  
Vol 14 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Djoko Eko Hadi Susilo
Keyword(s):  
Plant Growth ◽  
Leaf Area ◽  
Low Cost ◽  
Peat Soil ◽  
Leaf Shape ◽  
Area Measurement ◽  
Leaf Lamina ◽  
Graph Paper ◽  
Non Destructive ◽  
Destructive Methods

The purpose of this research is to know and identification constanta value of leaf shape for leaf area measurement using length cross width of leaf of horticulture plant in peat soil. This research was conducted from February to May 2015 in Palangka Raya City, Central Kalimantan. This research implemented by observed of leaf from 32 species of horticulture plant in peat soil. In every species, was observed 30 leaf (lamina). Measuring leaf area absolutelly using on grid paper or millimeter graph paper, and than measuring ratio if leaf area is can finding using length cross width of leaf. Result of this research, showed that 32 species of horticulture plant in peat soil have regularity of leaf shape and can identified of constanta value for leaf area measurement using length cross width of leaf.Leaf area measurement using length cross width of leaf is alternative technique because easier (simple), quick (fast), low cost, and accurate to plant growth analysis for non-destructive methods. Leaf area measurement not explain plant growth only, but many purposes was can resulted from it. This research suggested to identification of constanta value of leaf shape for another species horticulture plant in peat soil cultivation.

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