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| Registros recuperados: 10 | |
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| Sandino,Juan D.; Ramos-Sandoval,Olga L.; Amaya-Hurtado,Darío. |
| ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the researchers due to most of the time they do not have access to the adequate tool for this purpose. A new algorithm, implemented in this investigation, allows to estimate by means of a non-destructive method, the leaf coverage value of strawberry plants (fragaria x ananassa) of the cultivar Albion in the Cajicá region, Colombia, by using digital image processing techniques ( DPI). The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations. The image acquisition system was conducted by means of photographic images in plants in study, directly from the beds of the crop and the captures were subsequently... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Imaging; Fragaria x ananassa; Non-destructive method. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000800716 |
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| Marcon,Marlon; Mariano,Kleber; Braga,Roberto A.; Paglis,Carlos M.; Scalco,Myriane S.; Horgan,Graham W.. |
| One feature of most horticultural crop plants that is biologically relevant to their yield and productivity is total leaf area. However, direct methods of estimation of the leaf area cause damage to the plants, whereas indirect methods such as based on light measurement, demand accuracy in the setup of the measurement procedure, which is specific to each crop. Coffee is one of the most important perennial plants related to worldwide trade, and this demands some ability to estimate the productivity of the crop, as well as all the perennial plants involved in production of agricultural products. This study aims to build a model based on indirect measures to estimate the leaf area in coffee plants using image analysis. Two models were evaluated, one based on... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Non-destructive method; Coffee tree; Model. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662011000100014 |
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| OLIVEIRA,PABLO SOUTO; SILVA,WILTON; COSTA,ADRIANA APARECIDA MATTA; SCHMILDT,EDILSON ROMAIS; VITÓRIA,EDNEY LEANDRO DA. |
| ABSTRACT Obtaining leaf area is critical in several agronomic studies, being one of the important instruments to assess plant growth. The aim of this study was to estimate equations and select the most appropriate in determining leaf area in litchi (Litchi chinensis Sonn.). From the linear dimensions of length (L) and maximum width (W) of leaf limb, equations were estimated using linear, quadratic, potential and exponential models. The linear regression equation using the product of the length by maximum width, given by Y = 0.2885 + 0.662 (L.W) is the one that best expresses the leaf area estimation of litchi tree. |
| Tipo: Info:eu-repo/semantics/other |
Palavras-chave: Litchi chinensis Sonn.; Leaf dimension; Non-destructive method. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452017000700201 |
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| Ribeiro, João Everthon da Silva; Coêlho, Ester dos Santos; Figueiredo, Francisco Romário Andrade; Pereira, Walter Esfrain; Albuquerque, Manoel Bandeira de. |
| Determining leaf area is important for studies involving plant growth and development. The aim of the present study was to obtain models for estimating leaf area of Psychotria carthagenensis and Psychotria hoffmannseggiana using linear measurements of leaf blades (length and width). Two hundred leaf blades of each species were collected in Parque Estadual Mata do Pau-Ferro in the municipality of Areia, Paraíba, Northeast Brazil. The equations evaluated for producing potential models included the following: linear, quadratic, potential and exponential. The criteria used to determine the best model(s) were as follows: high coefficient of determination (R²), low root-mean-square error (RMSE), low Akaike information criterion (AIC), high Willmott concordance... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Biologia biometry; Non-destructive method; Modeling; Rubiaceae. Ecologia. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/43494 |
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| CARVALHO,JULIANA O. DE; TOEBE,MARCOS; TARTAGLIA,FRANCIELI L.; BANDEIRA,CIRINEU T.; TAMBARA,ANDRÉ L.. |
| ABSTRACT The goal of this study was to estimate the leaf area of Crotalaria juncea according to the linear dimensions of leaves from different ages. Two experiments were conducted with C. juncea cultivar IAC-KR1, in the 2014/2015 sowing seasons. At 59, 82, 102, 129 days after sowing (DAS) of the first and 61, 80, 92, 104 DAS of the second experiment, 500 leaves were collected, totaling 4,000 leaves. In each leaf, the linear dimensions were measured (length, width, length/width ratio and length × width product) and the specific leaf area was determined through Digimizer and Sigma Scan Pro software, after scanning images. Then, 3,200 leaves were randomly separated to generate mathematical models of leaf area (Y) in function of linear dimension (x), and 800... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Non-destructive method; Image processing; Mathematical models; Model validation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401851 |
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| Pezzini,Rafael Vieira; Cargnelutti Filho,Alberto; Alves,Bruna Mendonça; Follmann,Diego Nicolau; Kleinpaul,Jéssica Andiara; Wartha,Cleiton Antonio; Silveira,Daniela Lixinski. |
| ABSTRACT This study aims to determine the most suitable model to estimate the leaf area of dwarf pigeon pea in function of the leaf central leaflet dimension. Six samplings of 200 leaves were performed in the first experiment, at 36, 42, 50, 56, 64, and 72 days after emergence (DAE). In the second experiment, seven samplings of 200 leaves were performed at 29, 36, 43, 49, 57, 65, and 70 DAE, totaling 2600 leaves. The length (L) and width (W) of the central leaflet were measured in all leaves composed by left, central, and right leaflets, the product of length times width (LW) was calculated, and the leaf area (Y – sum of left, central, and right leaflet areas) was determined by digital images. Linear, power, quadratic, and cubic models of Y as function of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cajanus cajan (L.) Millsp; Modeling; Non-destructive method. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200221 |
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| Toebe,Marcos; Souza,Rafael Rodrigues de; Mello,Anderson Chuquel; Melo,Patrícia Jesus de; Segatto,Alexandre; Castanha,Ana Carla. |
| 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... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cucurbita moschata; Image processing; Non-destructive method; Mathematical models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203 |
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| Registros recuperados: 10 | |
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