scholarly journals Evaluation of new mathematical models for estimation of single olive leaves area

2020 ◽  
Vol 12 (2) ◽  
pp. 144-147
Author(s):  
M.A. Mhanna
Keyword(s):  
Mathematical Models ◽  
Leaf Area ◽  
High Efficiency ◽  
Coefficient Of Determination ◽  
Olive Cultivar ◽  
New Model ◽  
Area Estimation ◽  
Single Leaf ◽  
Natural Logarithm ◽  
Leaf Dimensions

Abstract. The study was conducted on “Khoderi” olive cultivar planted in Jableh Region-Latakia province, Syria in 2017 in order to evaluate some mathematical models adapted for olive single leaf area estimation. Leaf samples were taken from the middle of one-year branches. Actual areas of the leaves were measured using Adobe Photoshop CS5. Leaf dimensions (length and width) were measured accurately. Coefficients of determination were estimated for the relation between leaf dimensions and the actual area. The best coefficient of determination was between the natural logarithm of the product (leaf length × leaf width) and the natural logarithm of leaf area (R2= 0.962). Linear regression equation of the mentioned relation was fitted and evaluated. The accuracy of the new model (A=e0.9509ln LW – 0.2867) was compared to other models commonly used for olive single leaf area estimation. The comparison showed no significant differences between leaf area obtained by the new model and the actual leaf area values (p=0.01), whereas significant differences were found for the other models. The new model showed the lowest Root Mean Square Error (RMSE) and high efficiency in estimating olive leaf area of “Khoderi” cultivar in two different environments; the same results were obtained for olive cultivar “Picholine” the French. We recommend the new model for olive single leaf area estimation.

Single leaf area estimation models based on leaf weight of eucalyptus in southern China

2010 ◽  
Vol 21 (1) ◽  
pp. 73-76 ◽  
Author(s):  
Jun Diao ◽  
Xiang-dong Lei ◽  
Ling-xia Hong ◽  
Jian-tao Rong ◽  
Qiang Shi
Keyword(s):  
Leaf Area ◽  
Southern China ◽  
Area Estimation ◽  
Single Leaf ◽  
Leaf Weight ◽  
Estimation Models

scholarly journals Estimation of leaf area of Erythroxylum citrifolium from linear leaf dimensions

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
João Everthon da Silva Ribeiro ◽  
Ester dos Santos Coêlho ◽  
Francisco Romário Andrade Figueiredo ◽  
Sérgio de Faria Lopes ◽  
Manoel Bandeira de Albuquerque
Keyword(s):  
Leaf Area ◽  
Leaf Blade ◽  
Information Criterion ◽  
Coefficient Of Determination ◽  
Concordance Index ◽  
R And D ◽  
Linear Dimensions ◽  
Bias Index ◽  
Linear Leaf ◽  
Leaf Dimensions

Erythroxylum citrifolium is a neotropical plant species recorded in all regions of Brazil. Determining leaf area is of fundamental importance to studies related to plant propagation and growth. The objective was to obtain an equation to estimate the leaf area of E. citrifolium from linear dimensions of the leaf blade (length and width). A total of 200 leaf blades were collected in Parque Estadual Mata do Pau-Ferro in the municipality of Areia, state of Paraíba, Northeast Brazil. The models evaluated were: linear, linear without intercept, quadratic, cubic, power and exponential. The best model was determined by the criteria of: high coefficient of determination (R²), low root mean square error (RMSE), low Akaike information criterion (AIC), high Willmott concordance index (d) and a BIAS index close to zero. All of the models constructed satisfactorily estimated the leaf area of E. citrifolium, with coefficients of determination above 0.9050, but the power model using the product between length and width (L*W) ŷ = 0.5966 * LW1.0181 was the best, with the highest values of R² and d, low values of RMSE and AIC, and a BIAS index closest to zero.

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

2015 ◽  
Vol 75 (1) ◽  
pp. 152-156 ◽  
Author(s):  
MC. Souza ◽  
CL. Amaral
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Leaf Development ◽  
Linear Equations ◽  
Accurate Estimate ◽  
Area Estimation ◽  
Leaf Dimensions ◽  
Non Destructive ◽  
Linear Regressions ◽  
Very High

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 the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high.

scholarly journals Leaf area estimation in triticale by leaf dimensions

2019 ◽  
Vol 14 (2) ◽  
pp. 1-9
Author(s):  
M. Toebe ◽  
P.J. Melo ◽  
R.R. Souza ◽  
A.C. Mello ◽  
F.L. Tartaglia
Keyword(s):  
Leaf Area ◽  
Area Estimation ◽  
Leaf Dimensions

Leaf area estimation by considering leaf dimensions in olive tree

2018 ◽  
Vol 240 ◽  
pp. 440-445 ◽  
Author(s):  
Georgios Koubouris ◽  
Dimitris Bouranis ◽  
Efraim Vogiatzis ◽  
Abdolhossein Rezaei Nejad ◽  
Habtamu Giday ◽  
...  
Keyword(s):  
Leaf Area ◽  
Olive Tree ◽  
Area Estimation ◽  
Leaf Dimensions

scholarly journals Leaf area estimation for Psychotria carthagenensis and Psychotria hoffmannseggiana as a function of linear leaf dimensions

2019 ◽  
Vol 41 (1) ◽  
pp. 43494
Author(s):  
João Everthon da Silva Ribeiro ◽  
Ester Dos Santos Coêlho ◽  
Francisco Romário Andrade Figueiredo ◽  
Walter Esfrain Pereira ◽  
Manoel Bandeira de Albuquerque
Keyword(s):  
Leaf Area ◽  
Area Estimation ◽  
Linear Leaf ◽  
Leaf Dimensions

scholarly journals Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Bragantia ◽  
2018 ◽  
Vol 77 (2) ◽  
pp. 221-229 ◽  
Author(s):  
Rafael Vieira Pezzini ◽  
Alberto Cargnelutti Filho ◽  
Bruna Mendonça Alves ◽  
Diego Nicolau Follmann ◽  
Jéssica Andiara Kleinpaul ◽  
...  
Keyword(s):  
Leaf Area ◽  
Pigeon Pea ◽  
Area Estimation ◽  
Leaf Dimensions

scholarly journals Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions

2019 ◽  
Vol 49 (4) ◽  
Author(s):  
Marcos Toebe ◽  
Rafael Rodrigues de Souza ◽  
Anderson Chuquel Mello ◽  
Patrícia Jesus de Melo ◽  
Alexandre Segatto ◽  
...  
Keyword(s):  
Leaf Area ◽  
Linear Dimension ◽  
The Real ◽  
Area Estimation ◽  
Linear Dimensions ◽  
Validation Of Models ◽  
Length Width ◽  
Leaf Dimensions ◽  
Sowing Season

ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity between L and W and, therefore, models using the LW product are not recommended. The model LA=0.5482W2 + 0.0680W (R²=0.9867) is adequate for leaf area estimation of squash ‘Brasileirinha’.

scholarly journals Mathematical Modeling for Leaf Area Estimation From Papaya Seedlings ‘Golden THB’

2019 ◽  
Vol 11 (5) ◽  
pp. 496
Author(s):  
Vinicius de Souza Oliveira ◽  
Karina Tiemi Hassuda dos Santos ◽  
Thainá de Jesus Ambrósio ◽  
Jéssica Sayuri Hassuda Santos ◽  
Weslley do Rosário Santana ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Leaf Area ◽  
Regression Models ◽  
Leaf Blade ◽  
Coefficient Of Determination ◽  
Suitable Model ◽  
Linear Regression Models ◽  
Maximum Width ◽  
Area Estimation ◽  
Linear Dimensions

The aim of this study was to select the most suitable model for leaf area estimation from papaya seedlings cv. ‘Golden THB’ using linear dimensions of leaves with unilobular and trilobular morphology. It was used leaves of 60 seedlings with 30 days after sowing produced in nursery of the Fazenda Santa Teresinha which belongs to company Caliman Agrícola S.A., in the municipality of Linhares, state of Espírito Santo, in March 2016. The measurement of the length (L) was performed along the midrib, the maximum width (W) of the leaf blade, the product of the length by the width (LW) and the observed leaf area (OLA). From these results, first degree and power linear regression models was adjusted. From the proposed regression models, the validation was performed with a leaves sample of 60 seedlings produced in June 2016, obtaining, thus, the estimated leaf area (ELA). The following criteria were used to choose the best model: the highest coefficient of determination (R2), the values do not significant of the comparison of means of OLA and ELA and values of MAE and RMSE closer to zero. The leaf area estimation from papaya seedlings cv. ‘Golden THB’ can be represented through equation ELA = -0.402619 + 0.612525(LW) for trilobular leaves and through equation ELA = 0.623355 + 0.610552(LW) for unilobular leaves.

scholarly journals Non-destructive evaluation of the leaf area of garlic crop using mathematical models

2020 ◽  
Vol 36 (5) ◽  
Author(s):  
Felipe Augusto Reis Gonçalves ◽  
Marcelo de Paula Senoski ◽  
Thiago Picinatti Raposo ◽  
Leonardo Angelo de Aquino ◽  
Maria Elisa de Sena Fernandes
Keyword(s):  
Linear Regression ◽  
Mathematical Models ◽  
Leaf Area ◽  
Dry Matter ◽  
Linear Models ◽  
Coefficient Of Determination ◽  
Length Width ◽  
Number Of Leaves ◽  
Non Destructive

Growth measurements such as leaf area (LA) and dry matter (DM) are important in experiments about plants population, fertilization, irrigation and others parameters of cultivation, in garlic crop. The LA and DM are commonly defined as destructive, lengthy and cause loss of plants in the experimental units. The objective of this study was to fit mathematical models using linear models that estimate the leaf area and dry matter of garlic plants - variety Ito. For that, garlic plants were collected at 30, 45, 60, 75, 90, 115 and 120 days after planting. The measurements of width (W), length (L) of leaves, LA, DM, pseudostem diameter (PD), number of leaves per plant (NL) and height (H) were determined in each time. The models were fitted to estimate the LA or DM as function of the variables W, L, L*W, PD and LA. The statistical analysis of the linear regression, coefficient of determination of the linear regression (R2), root mean square error (RMSE), modified concordance index (d1) and the BIAS index were verified to determine the most representative models. It`s possible to estimate the LA and the leaf DM of garlic plants using the variables: length, width, pseudostem diameter and height of plants.

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