596 resultados para função semântica
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia - FEIS
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Currently new techniques for data processing, such as neural networks, fuzzy logic and hybrid systems are used to develop predictive models of complex systems and to estimate the desired parameters. In this article the use of an adaptive neuro fuzzy inference system was investigated to estimate the productivity of wheat, using a database of combination of the following treatments: five N doses (0, 50, 100, 150 and 200 kg ha(-1)), three sources (Entec, ammonium sulfate and urea), two application times of N (at sowing or at side-dressing) and two wheat cultivars (IAC 370 and E21), that were evaluated during two years in Selviria, Mato Grosso do Sul, Brazil. Through the input and output data, the system of adaptive neuro fuzzy inference learns, and then can estimate a new value of wheat yield with different N doses. The productivity prediciton error of wheat in function of five N doses, using a neuro fuzzy system, was smaller than that one obtained with a quadratic approximation. The results show that the neuro fuzzy system is a viable prediction model for estimating the wheat yield in function of N doses.
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Corn is the crop most used for making silage. The efficiency of the process should also be evaluated by cost per kg of dry matter harvested (kgDM). The objective of this study was to evaluate energy consumption in the harvest of corn hybrids for silage depending on the texture of the hybrid, four and three harvest maturities of particle sizes - Tp was used a tractor Massey Ferguson MF 610 model 86 cv. Cutting and harvesting the forage harvester is used model JF92 Z10. To obtain data on fuel consumption (CC) and time spent for each plot, we used a flow meter, installed near the fuel filter of the tractor. The experimental design was completely randomized in a split plot. The interaction between factors triple stage hybrid * Harvest * Tp. The velocity and displacement of the tractor were different for the maturities for hybrid hard texture. The CC schedule for hybrid dent increased harvest maturity earlier and at lower Tp. Consumption was lower by kgDM later maturity, hard texture and bite respectively. The theoretical power was higher in earlier maturity and yield were higher for hybrid hard texture in the most advanced. The CC was lower in late maturity and the hybrid hard texture can be used for silage in relation to the Cc and income in later maturity in higher Tp.
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The canola (Brassica napus, L.) cultivation was encouraged for grain and oil production at the 80's, and it is also considered a good option for crop rotation. The nitrogen is one of the most required nutrients by the plant to increase its production, while sulfur is essential to provide seed quality. Thus, the objective of this study was, at Cerrado region, evaluate the effects of nitrogen and sulfur fertilization at yield and contents of oil and crude protein in the grains. We also sought relate to grain yield the S content in the soil and concentrations of N and S in the diagnosis leaf. The experiment was conducted in Uberaba County, State of Minas Gerais, Brazil, in an Oxisol, utilizing the Hyola 401 hybrid. The treatments consisted in a factorial scheme 5 x 4 (five N rates: 0, 60, 100, 140 and 180 kg ha(-1) and; four S rates: 0, 15, 30 and 60 kg ha(-1)) in a randomized blocks design, with four replicates. The nitrogen and sulfur fertilization increased canola grain yield, without significantly alter contents of oil and crude protein. Rates higher than to 140 kg ha(-1) of N and 15 kg ha(-1) of S provided grain yield above 1100 kg ha(-1). Plots with yield higher than to 1000 kg ha(-1) presented foliar concentration of N above 52 g kg(-1). The highest S content was observed at the 0.15-0.30 m layer, proving the sulfate anion mobility. The lowest grain yield were observed when the S content in the soil at this layer were less than 4 mg dm(-3). The N concentrations in the diagnostic leaf and S-SO4-2 content in the 0.15-0.30 m layer correlated positively with crop yield.
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The objective of this research was to evaluate the effects of rates and sources of potassium in top dressing on yield of cabbage hybrid Kenzan. Two experiments were conducted (15/07 to 22/11/2010 and 28/09/2010 to 27/01/2011) and nine treatments, resulted from a factorial 4 rates (45; 90; 135 and 180 kg ha(-1) of K2O) x 2 sources (KCl and K2SO4) + 1 control (without K in top dressing) were evaluated at randomized block design, with 4 replicates. After the harvest, fresh and dry weight of cabbage head and of external leaves; leaf number (from cabbage and external); diameter and height of cabbage head were evaluated. It was evaluated soil chemical characteristics at the end of first experiment and content of macro and micronutrients in plants. It was observed that potassium rates and sources did not influence most of evaluated characteristics. K content in plant increased linearly with KCl application. Results obtained show that, probably, it is not necessary application of K in top dressing when base fertilization is done with this nutrient, besides existing recommendations for this crop.
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The purpose of this study was to determine a shape factor to estimate area of leaflets of two peanut cultivars (IAC TATU ST, IAC RUNNER 886). Correlation studies were conducted involving real leaf area (Sf) and leaf length (C), maximum leaf width (L) and the product between C and L. For each cultivar was determined a form factor (f) by means of regression analysis between the product of the length by the width and the actual area of leaves and the correlation between leaf area estimated by the correction factor and direct measurement. All evaluated models (linear, exponential or geometric) provided good estimates of leaf area (above 87%). Linear models had the best fit, passing or not through the origin. From a practical viewpoint, it is suggested to use the linear model involving the C and L product, using a linear coefficient equal to zero, with values of factor f equal to 0.7111 and 0.7266 for IAC RUNNER 886 and IAC TATU ST, respectively. The method of dimensions is feasible for the estimation of leaf area for both peanut cultivars, for showing good r(2) values (0.97), with errors below 3%, even when used with independent data.
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Saúde Coletiva - FMB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)