Portable device for contactless, non-destructive and in situ outdoor individual leaf area measurement

In order to measure the plant leaf area conveniently and quickly in an indoor laboratory and outdoor field, a set of scaffold leaf area measurement systems was designed and manufactured. A 2D in situ method for measuring plant leaf area with camera correction and background color calibration was proposed. The method integrates three subalgorithms: fast calibration and distortion correction algorithm, background color calibration algorithm, and edge error correction algorithm. At the same time, the Visual Studio 2015 and OpenCV 3.4.0 were used to develop and test the algorithm. In order to verify the measurement speed and environmental adaptability of the system, the test was carried out in the complex light disturbance outdoors, and the results were consistent with those in the room. In order to verify the measurement accuracy of the system, this method was used to measure the standard rectangular gauge block of known area and the real leaf area, respectively, and its data were compared with the data measured by Wanshen LA-S plant image analyzer. The results show that both methods have a good stability, and the algorithm proposed in this paper performs better in measurement accuracy and environmental adaptability.

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Using the conservative nature of fresh leaf surface density to measure foliar area

International Agrophysics ◽

10.2478/intag-2014-0032 ◽

2014 ◽

Vol 28 (4) ◽

pp. 413-421

Author(s):

Omar S. Castillo ◽

Esther M. Zaragoza ◽

Carlos J. Alvarado ◽

Maria G. Barrera ◽

Nabanita Dasgupta-Schubert

Keyword(s):

Image Analysis ◽

Leaf Area ◽

Digital Image ◽

Surface Density ◽

Digital Image Analysis ◽

Leaf Surface ◽

Area Measurement ◽

Fresh Leaf ◽

The Masses

Abstract For a herbaceous species, the inverse of the fresh leaf surface density, the Hughes constant, is nearly conserved. We apply the Hughes constant to develop an absolute method of leafarea measurement that requires no regression fits, prior calibrations or oven-drying. The Hughes constant was determined in situ using a known geometry and weights of a sub-set obtained from the fresh leaves whose areas are desired. Subsequently, the leaf-areas (at any desired stratification level), were derived by utilizing the Hughes constant and the masses of the fresh leaves. The proof of concept was established for leaf-discs of the plants Mandevilla splendens and Spathiphyllum wallisii. The conservativeness of the Hughes constant over individual leaf-zones and different leaftypes from the leaves of each species was quantitatively validated. Using the globally averaged Hughes constant for each species, the leaf-area of these and additional co-species plants, were obtained. The leaf-area-measurement-by-mass was cross-checked with standard digital image analysis. There were no statistically significant differences between the leaf-area-measurement-by-mass and the digital image analysis measured leaf-areas and the linear correlation between the two methods was very good. Leaf-areameasurement- by-mass was found to be rapid and simple with accuracies comparable to the digital image analysis method. The greatly reduced cost of leaf-area-measurement-by-mass could be beneficial for small agri-businesses in developing countries.

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A non-destructive, simple and accurate model for estimating the individual leaf area of kiwi (Actinidia deliciosa)

Fruits ◽

10.1051/fruits:2007012 ◽

2007 ◽

Vol 62 (3) ◽

pp. 171-176 ◽

Cited By ~ 30

Author(s):

Emilio Mendoza-de Gyves ◽

Youssef Rouphael ◽

Valerio Cristofori ◽

Farida Rosana Mira

Keyword(s):

Leaf Area ◽

Actinidia Deliciosa ◽

Individual Leaf ◽

Accurate Model ◽

The Individual ◽

Non Destructive

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

Horticultura Brasileira ◽

10.1590/s0102-0536-20210212 ◽

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.

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

Current Journal of Applied Science and Technology ◽

10.9734/cjast/2020/v39i1630746 ◽

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.

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A simple and non-destructive model for individual leaf area estimation in citrus

Fruits ◽

10.1051/fruits/2010022 ◽

2010 ◽

Vol 65 (5) ◽

pp. 269-275 ◽

Cited By ~ 13

Author(s):

Renata Bachin Mazzini ◽

Rafael Vasconcelos Ribeiro ◽

Rose Mary Pio

Keyword(s):

Leaf Area ◽

Area Estimation ◽

Individual Leaf ◽

Non Destructive

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.577.664 ◽

2014 ◽

Vol 577 ◽

pp. 664-667 ◽

Cited By ~ 1

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.

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

Anterior Jurnal ◽

10.33084/anterior.v14i2.178 ◽

2015 ◽

Vol 14 (2) ◽

pp. 139-146 ◽

Cited By ~ 2

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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A Measuring Scale for Areas of Cereal Leaves

Experimental Agriculture ◽

10.1017/s0014479700009637 ◽

1968 ◽

Vol 4 (4) ◽

pp. 275-278 ◽

Cited By ~ 9

Author(s):

P. C. Owen

Keyword(s):

Leaf Area ◽

Area Measurement ◽

Direct Reading ◽

Linear Dimensions ◽

Measuring Scale ◽

Non Destructive

SUMMARYA method is described for constructing a direct-reading scale for leaf area measurement of cereals. The scale is constructed from linear dimensions of leaves, and it enables rapid non-destructive measurements to be made.

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Combining High-Throughput Phenotyping with Overall Growth Measurements of Indica Rice (Oryza Sativa L Spp. Indica) Cultivars over the Whole Life Cycle

10.21203/rs.3.rs-480642/v1 ◽

2021 ◽

Author(s):

Cattarin Theerawitaya ◽

Cattleya Chutteang ◽

Anuruck Arunyanark ◽

Narubodin Kwangern ◽

Nattapol Rachsapa ◽

...

Keyword(s):

Life Cycle ◽

Leaf Area ◽

High Throughput ◽

Positive Relationship ◽

Canopy Height ◽

Area Measurement ◽

Rice Cultivars ◽

High Throughput Phenotyping ◽

Whole Life Cycle ◽

Non Destructive

Abstract Background: High-throughput phenotyping systems containing non-destructive and non-invasive characterizations of phenotypic traits throughout the whole life cycle of plant development have prevailed over the conventional method. The aim of this investigation was to evaluate the phenotypic characteristics of indica rice genotypes using RGB high-throughput phenotyping over the whole life cycle in relation to biomass and yield components. Results: Plant canopy width, canopy height and leaf area values of the rice cultivars RD41, Pathumthani1 (PT1), Homchonlasit, IR64, Riceberry and RD43 were measured using RGB imagery estimation together with actual measurements at 45, 60, 75, 90, 105 and 120 DAP. Canopy width and canopy height values obtained from actual measurements were linearly related to RGB-estimated values in all rice cultivars with r = 0.87-0.93 and r = 0.90-0.99, respectively. Interestingly, a positive relationship between plant projected area from RGB imagery and leaf area measurement was observed, especially at the vegetative stage (r = 0.93- 0.99). At harvest, a positive relationship between aboveground biomass and total yield was also found (R2 = 0.44). Conclusion: The agronomical traits and plant characterizations of RD41, PT1, Homchonlasit, IR64, Riceberry and RD43 were validated over the whole life cycle of rice crops in the present investigation. Based on this study, we confirm that high-throughput phenotyping data collection should overcome conventional measurements due to its non-destructive, rapid, and automated production of big data and high accuracy in indica rice crops.

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