Periódicos
URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3352
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Resultados da Pesquisa
Item Variabilidade espacial dos atributos da planta de uma lavoura cafeeira(Universidade Federal do Ceará, 2017-01) Ferraz, Gabriel Araújo e Silva; Silva, Fábio Moreira da; Oliveira, Marcelo Silva de; Custódio, Adriano Augusto Paiva; Ferraz, Patrícia Ferreira PoncianoObjetivou-se com esse trabalho caracterizar a estrutura e a magnitude da distribuição espacial de atributos da planta em lavoura cafeeira e realizar o mapeamento desses atributos de forma a visualizar a distribuição espacial, considerando a dependência espacial destes atributos, demostrando a importância deste mapeamento. Este trabalho foi conduzido na fazenda Brejão no município de Três Pontas, Minas Gerais, utilizando-se os seguintes atributos da planta: Produtividade, Índice de Maturação, Enfolhamento, Força de Desprendimento de Frutos Verde, Força de Desprendimento de Frutos Maduros, Diferença entre a Força de Desprendimento de Frutos Verde e Maduros, Altura de Planta e Diâmetro de Copa amostrados em uma malha amostral de 100 pontos georreferenciados (64 pontos da malha base e 36 pontos de zoom). A análise destes dados por meio das técnicas estatísticas e da geoestatística possibilitaram caracterizar a variabilidade espacial dos atributos da planta em estudo, permitindo o mapeamento destas variáveis. Foi possível observar a importância da cafeicultura de precisão no manejo de uma lavoura cafeeira tanto no gerenciamento da colheita quanto no acompanhamento do desenvolvimento da planta.Item Development of a methodology to determine the best grid sampling in precision coffee growing(Editora UFLA, 2018-07) Figueiredo, Vanessa Castro; Silva, Fabio Moreira da; Ferraz, Gabriel Araújo e Silva; Oliveira, Marcelo Silva de; Santos, Sthéfany Airane dosPrecision agriculture is based on a set of techniques that explore the spatial variability of properties related to a determined area. The aim of this study was to develop and test a methodology to evaluate the quality of grid sampling. The experiment was performed in three areas of 112, 50 and 26 ha, in coffee plantations (Coffea arabica ) with cultivar Catuai 144, in the Três Pontas Farm, located in Presidente Olegário, MG, Brazil, in 2014 and 2015. A total of 224, 100, and 52 georeferenced points (2.0 points/ha) were plotted in the areas regarding the soil chemical properties, respectively: phosphorus, potassium, calcium and magnesium. For the application methodology the standardized accuracy index (SAI), the standardized precision index (SPI) and the standardized optimal grid indicator (SOGI) were developed and tested. From grid 1 (2 points/ha), another three sampling grids (1.0, 0.7 and 0.5 point/ha) were adopted. The indexes were important to analyze the grid quality, whereas the SOGI allowed selecting the grid that best represented the properties.Item Plant sampling grid determination in precision agriculture in coffee field(Editora UFLA, 2018-01) Ferraz, Gabriel Araújo e Silva; Oliveira, Marcelo Silva de; Silva, Fábio Moreira da; Sales, Ronan Souza; Carvalho, Luis Carlos CiriloThe aim of the present study was to evaluate different grid samples applied to plant properties of a coffee plantation by using precision coffee growing and geostatistical techniques. The study was performed at the Brejão Farm in the municipality of Três Pontas, MG, Brazil, using productivity, the maturation index and the detachment force difference, sampled at georeferenced points. With the intention of choosing an optimum grid, 20 grid samples were tested through semivariogram fitting and validation tests seeking to combine the accuracy and precision that the grid sample can present through an optimal grid indicator, allowing choosing a more suitable grid. It was possible to characterize the magnitude of the spatial variability of plant properties under study in all the proposed grids. The grid that best represented the three variables under study was the grid with 64 sample points in squared grid and nine zoom grid points. The proposed methodology for the present study allowed observing the difference among different grid samples and among the variables of plant productivity, maturity index and detachment force.