Leaf area estimation of cassava from linear dimensions

Zanetti, S. M.; Pereira, Laís Fernanda Melo; Sartori, Maria Márcia Pereira; Silva, Marcelo de Almeida

doi:10.1590/0001-376520172016-0475

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…Model regresi linear sederhana berdasarkan hanya satu peubah sering digunakan di lapangan (Tsialtas & Maslaris 2005). Model pendungaan luas daun dengan menggunakan peubah panjang dan lebar daun telah dilakukan pada tanaman ubi kayu (Samara et al 2017), buah berry (Carlo et al 2008), cabe (Salau et al 2008), buah peach (Demirsoy et al 2004), dan jeruk (Mazzini 2010). Pendugaan untuk mem-perkirakan luas daun dengan menggunakan peubah panjang dan lebar merupakan metode yang cepat (Erdogan 2012) serta dapat mengurangi tenaga dan biaya serta dapat dilakukan dengan mudah di lapang.…”

Section: Pendahuluanunclassified

Pendugaan Luas Daun Tanaman Talas (Colocasia esculenta)

Andarini

Afza

Sutoro

2020

J. Ilmu. Pertan. Indones.

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Estimation of leaf area by using leaf length and leaf width variables could be done without destruction of the leaves from plants and more practical than using the leaf areameter. Surface area is a function of the variable length and width, so the leaf area can be measured based on leaf length and leaf width variables. The purpose of this research is to get the leaf area estimator model with nondestructive method. Taro plants were observed by using 12 accessions/varieties taken from the germplasm collection in Gene Bank Collection of ICABIOGRAD, IAARD. Observations of the length, width, and area of leaf were carried out on 10-12 leaf samples for each accession/variety from taro cultivation which was about 4 months old. The length (P), width (L), and area (Y) of each taro leaf were measured. The estimation of taro leaves area by regression equation was analyzed by using one (P or L) and two (P and L) independent variables. Estimation using two variables, leaf length and width, is better than only use one variable. Taro leaf area (Y) of each leaf can be determined by the equation Y = 0.9462 P x L for ratio of P/L less than 1.10, Y = 0.9109 P x L for ratio of P/L between 1.10-1.19, and Y = 0.8860 P x L for ratio of P/L equal or greater than 1.20. Keywords: model estimation, leaf area, taro

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Section: Pendahuluanunclassified

Pendugaan Luas Daun Tanaman Talas (Colocasia esculenta)

Andarini

Afza

Sutoro

2020

J. Ilmu. Pertan. Indones.

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“…The establishment of the regression models used to quantify the relationship between the surface areas and dimensions of leaves requires numerous data points consisting of the lengths and widths of the leaves collected from different levels of the canopy [12]. The leaf length and width have generally been measured using a ruler [3,4,10,[13][14][15]. Although useful, this method is laborious and can occasionally cause significant errors.…”

Section: Introductionmentioning

confidence: 99%

Digital image processing method for estimating leaf length and width tested using kiwifruit leaves (Actinidia chinensis Planch)

Zhang

2020

PLoS ONE

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In this study, an image-analysis-based method is proposed to estimate the length and width of plant leaves, some of which have concave tips and petiole insertions. Here, kiwifruit leaves are used. Using the proposed method, orthophotographs of the leaves were obtained through image segmentation and image correction. The coordinates of the pixels along the edge of the kiwifruit leaf were then extracted. Finally, the leaf length was determined based on the sum of the number of pixels between the leaf tip and petiole insertion, and the leaf width was calculated based on the sum of the number of pixels for the widest region of the leaf. The experimental results were evaluated by analyzing the mean absolute error (MAE), root mean square error (RMSE), and accuracy. The maximum MAE and RMSE for the three examined cultivars are 0.281 and 0.366 cm, respectively. The analysis also showed that the proposed method outperforms other prevalent approaches, achieving high accuracy rates of 98.88% and 98.83% for the length and width of kiwifruit leaves, respectively. The low MAE and RMSE and high accuracy prove the capability of the proposed method with regard to calculating the length and width of such leaves. In addition, the proposed method can be extended to other plants whose leaf shape is comparable to that of a kiwifruit leaf.

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“…There are several methods to measure with accuracy the leaf area, being classified in direct and indirect methods (Olfati, Peyvast, Shabani, & Nosratie-rad, 2010). The indirect methods usually involve the use of regression equations, allow for successive evaluations in the same plant and rapidity in these evaluations, preserving the leaves for later studies, as well as not causing damage to plants (Zanetti, Pereira, Sartori, & Silva, 2017). The regression equations are obtained from modeling studies involving the leaf area observed as a function of length and width measurements of the leaf blade.…”

Section: Introductionmentioning

confidence: 99%

Leaf Area Estimation of Garden Boldo From Linear Dimensions

Ribeiro¹,

Mundim²,

Mendonça³

et al. 2019

JAS

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The objective of this work was to determine a mathematical equation using linear measures that allows estimating a leaf area of the specie Plectranthus barbatus Andrews, a plant with medicinal properties popularly known as garden boldo. For this was performed a direct measurement of the leaf blade considering the length (L) along the midrib and the maximum width (W) perpendicular to the midrib of 500 leaves of different specimens and the observed foliar area (OLA), which were obtained by digitized images. A regression study with linear, quadratic, potential and exponential models was performed using a random sample of 400 from the evaluated leaves using OLA as a function of L, W or LW and then obtaining the estimated leaf area (ELA) of each model. From the remaining 100 leaves a validation of the tested models was performed using ELA as a function of OLA in a simple linear regression. From the residues between ELA and OLA the root-square-mean error and Willmot index (d) was obtained and the normality was verified. The parameters used for validation were: statistically linear and angular coefficient equal to zero and one respectively; coefficient of determination closest to the unit; RQME closer to zero; d index closest to the unit; normal distribution of residues. The equation that best represents the estimated leaf area of the garden boldo is ELA = 0.1389 + 0.6779 (LW).

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Leaf area estimation of cassava from linear dimensions

Cited by 13 publications

References 15 publications

Pendugaan Luas Daun Tanaman Talas (Colocasia esculenta)

Pendugaan Luas Daun Tanaman Talas (Colocasia esculenta)

Digital image processing method for estimating leaf length and width tested using kiwifruit leaves (Actinidia chinensis Planch)

Leaf Area Estimation of Garden Boldo From Linear Dimensions

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