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 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

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 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.

scholarly journals Development of software for plant leaf area estimation

2019 ◽  
Vol 390 ◽  
pp. 012029 ◽  
Author(s):  
Mikhail Astashev ◽  
Olga Beloshapkina ◽  
Andrey Kvitko ◽  
Alexey Matasov ◽  
Roman Zakharyan ◽  
...  
Keyword(s):  
Leaf Area ◽  
Plant 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

Nondestructive Leaf Area Estimation for Chia

2017 ◽  
Vol 109 (5) ◽  
pp. 1960-1969 ◽  
Author(s):  
Laura Mack ◽  
Filippo Capezzone ◽  
Sebastian Munz ◽  
Hans-Peter Piepho ◽  
Wilhelm Claupein ◽  
...  
Keyword(s):  
Leaf Area ◽  
Area Estimation
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