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Productivity of soybean in management zones with application of different sowing densities Ciência Rural
Camicia,Rafaela Greici da Motta; Maggi,Marcio Furlan; Souza,Eduardo Godoy de; Bazzi,Claudio Leones; Konopatzki,Evandro André; Michelon,Gabriela Karoline; Pinheiro,José Bruno Santos.
ABSTRACT: The present study aimed to assess the efficiency of sowing at variable rates for soybean cultivation in two management zones (MZs) which were defined based on stable attributes and correlated with productivity using the Fuzzy C-means clustering algorithm and the kriging interpolation.Seeding was carried out in the 2015/2016 and 2017/2018 crops with a variation of 20% of seeds and crop row spacing of 0.70m. In each MZ, 8 plots with higher and lower seed density were established. Productivity was measured using a harvest monitor connected to a harvester. Data were filtered and submitted to descriptive analysis. Productivity maps were generated using the inverse square distance interpolation for each seeding density. In the MZ with the highest...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Grain production; Management zones.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018001200201
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Effects of storage on vis-NIR-SWIR reflectance spectra of Mombasa grass leaf samples Ciência Rural
Tavares,Tiago Rodrigues; Fiorio,Peterson Ricardo; Seixas,Hugo Tameirão; Garcia,Amparo Cisneiros; Barros,Pedro Paulo da Silva.
ABSTRACT: Vis-NIR-SWIR reflectance spectra of leaf samples, collected in the laboratory, allow the calibration of predictive models to quantify their physicochemical attributes in a practical manner and without producing chemical residues. This technique should enable the development of management strategies for intensification of pasture use. However, spectral analysis performed in the laboratory may be affected by the deterioration of plant material during transport from the field to the lab, so storage methods are necessary. This research aimed to evaluate the effects of different storage methods on the spectral response of Mombasa grass leaves. Three methods were evaluated: (i) artificially refrigerated environment, (ii) humid environment, and (iii)...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Diffuse reflectance spectroscopy; Hyperspectral sensors; Forage; Precision agriculture.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300401
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Spatial variability of soil acidity attributes and the spatialization of liming requirement for corn Ciência e Agrotecnologia
Hurtado,Sandro Manuel Carmelino; Silva,Carlos Alberto; Resende,Álvaro Vilela de; Von Pinho,Renzo Garcia; Inácio,Euzelina dos Santos Borges; Higashikawa,Fábio Satoshi.
In Brazil, technicians, in most cases, ignore the aspects related to the spatial variability of the soil acidity attributes when liming requirement is calculated. The objective of this study was to validate the liming practice, evaluating the presence of spatial variability of the soil acidity attributes and the existence of areas with differentiated liming requirement, which were calculated by different methods. The experiment was carried out in an area cultivated with corn under conventional management and irrigation. The soil (0-0.2 m) was sampled in a conventional way (composite soil sample) and in a systematic scheme, by use of a grid sampling. In sequence to the soil fertility attributes analysis, it was calculated the liming requirement, according...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Geostatistics; Zea mays (L); Liming application zones.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542009000500022
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Multispectral aerial images for the evaluation of maize crops Ciência e Agrotecnologia
Hoss,Douglas Felipe; Luz,Gean Lopes da; Lajús,Cristiano Reschke; Moretto,Marcos Antônio; Tremea,Geraldo Antonio.
ABSTRACT The combination of multispectral aerial images and computational processing is emerging as one of the solutions used in precision agriculture to observe the nutritional status of plants. The objective of this study is therefore to associate the nitrogen content and dry weight of the aerial part of maize plants (DW) with the vegetation indices obtained by multispectral aerial images (NDVIA and NDREA), and with the SPAD index and the Greenseeker NDVI, in the vegetative stage V6. To this end, randomized blocks in a factorial scheme of 6x4 (six nitrogen doses at the base and four different flight altitudes) were used, with three replications. The collected data was submitted to ANOVA with the F test (p = 0,05) and subsequent regression analysis. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Precision agriculture; Nitrogen; Computational processing..
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100216
Registros recuperados: 144
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