874 resultados para Electricity in agriculture.
Emissão de CO2 em um latossolo vermelho coberto com palha sob aplicação de efluente e lodo de esgoto
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Geografia - FCT
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Pós-graduação em Ciência Florestal - FCA
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The use of pesticides to manage pest problems in agriculture has become a common practice around the world. Pesticides consist in chemical substances or biological agents that act preventing, destroying, repelling or mitigating the damage caused by pests in agriculture. In order to a successful treatment, the correct dosage of pesticide has to be applied for each kind of culture. In this context, this project aims to quantify the levels of the active ingredients Imidacloprid and Chlorpyrifos present in formulated technical products and compare with the reported in the ir commercial leaflets. The analyzes were performed by Ultra Performance Liquid Chromatography coupled to a photodiode array detector (CLUE-DAD). The identification of Imidacloprid and Chlorpyrifos in the samples was realized by comparison of the time of retention and UV spectre of those substances with the commercials patterns, resulting in a excellent method specificity of the method. In the scope of determination of active ingredients in formulated products, the method developed showed good sensitivity in the applied conditions, with suitables limits of detection (4,2.10-² mg L-¹ for Imidacloprid and 1,1.10-¹ mg L-¹ to Chlorpyrifos) and quantitation (1,4.10-¹ mg L-¹ and Imidacloprid 3,6.10-¹ mg L-¹ to Chlorpyrifos) for the concentrations found in matrices analyzed. Furthermore, good results were obtained to the method accuracy with coeficiente of variance values in the range of 0,6 to 0,7% for repeatability (intra-day) and 0,4 to 0,58% for intermediate precision (inter- day). The accuracy of the method was determined by recovery tests, the values were comprised in the range of 98 102%. According to the recommendations of the Associação Brasileira de Normas Técnicas, these values show good accuracy of the method. The concentrations obtained in the quantification of the active ingredients in formulated products showed values within permited by ABNT, 60.1% (w/v) ± 0.6%...
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The industry of sugar cane has become an important contributor to the generation of electricity in Brazil. Currently there are 434 sugar and ethanol plants operating in the country, 23% of the total export electricity to the National Integrated System (SIN), the state of São Paulo has 182 plants and 30% of them export energy to the SIN. The objective of this study is to compare parameters of electrical efficiency in the sugar and alcohol industry. For the study, three plants localized in the midwest region of Sao Paulo state with great potential for production and exporting bioenergy were chosen. Five energy analyzers LANDYS + GYR SAGA were used for measure the electrical parameters. The variables studied were energy consumption (C) and power factor (PF). For the statistical analysis it was adopteda randomized block design in a factorial 3 5composed of three companies and five sectors of energy consumption,in which: reception(1), milling (2), boiler (3), supporting activities / juice treatment (4), and distillation (5), totaling 15 treatments. Each group comprised 192 repetitions (48 hours 4 measurements per hour). It was concluded that there is no interest for the plans to fix the FP and reach a value 0.92, which is considered the ideal power factor.This,because the plants generate their own energy and are not penalized. Regarding the energy consumed, all sectors had significant differences. When comparingsector to sector, the plant called USB showed no significant differences in sectors 1 and 3, and the plant USC, in sectors 1 and 4. Considering the production units of this sector and selling power this type of evaluation is essential to perform this analysis, since the analyzed sectors are most important in the production of sugar and ethanol, and analyze and monitor these parameters, use and consumption energy can provide a greater supply of energy to be commercialized.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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This study aims to develop innovative proposals for production agriculture management and plans to build a participatory model, through the digital inclusion of members of the family farm gathered in a cooperative venture seeking to establish new environmental management efficiency for household production. The first part of the hypothesis assumes that a major obstacle to the insertion of small family farms into the markets is skilled labor, human capital. A training model has been developed for traceability and tracking activities on family farms, based on the atemoya culture. The second hypothesis predicts that it is possible to create a model that is scientifically supported by widely accepted rules derived from GlobalGAP standard certification, a global benchmark for good agricultural practices. Using these rules the model seeks to achieve the traceability of agricultural products and operations from the preservation of identity information within the production chain. The results obtained by the computerized system confirmed the presented hypotheses by demonstrating that technological innovation through intensive communication and information technologies education as well as other associated forms are important drivers of regional development, especially if implemented through a digital inclusion project using the state program Infocentros Access São Paulo.
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Currently, the efficiency in field operations and the increased productivity of crops is only possible with the use of agricultural machinery and equipment. This intensification of mechanized activities in agriculture, however, led to higher energy costs on farms mainly in the fuel consumption of agricultural tractors. The objective was to compare the fuel consumption of a tractor on tillage operations for irrigated cotton in semi-arid region varying two tire inflation pressures. The tests were conducted in Maricopa Agricultural Center (MAC), an experimental farm belonging to The University of Arizona using a 4x2 TDA Case tractor equipped with a 88kw autopilot system. The results showed lower values in the hourly fuel consumption by using the minimum tire inflation pressure of 124 kPa for all tillage equipment used.
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Knowing the annual climatic conditions is of great importance for appropriate planning in agriculture. However, the systems of climatic classification are not widely used in agricultural studies because of the wide range of scales in which they are used. A series with data from 20 years of observations from 45 climatological stations in all over the state of Pernambuco was used. The probability density function of the incomplete gamma distribution was used to evaluate the occurrence of dry, regular and rainy years. The monthly climatic water balance was estimated using the Thornthwaite and Mather method (1955), and based on those findings, the climatic classifications were performed using the Thornthwaite (1948) and Thornthwaite and Mather (1955) for each site. The method of Kriging interpolation was used for the spatialization of the results. The study classifications were very sensitive to the local reliefs, to the amount of rainfall, and to the temperatures of the regions resulting in a wide number of climatic types. The climatic classification system of Thornthwaite and Mather (1955) allowed efficient classification of climates and a clearer summary of the information provided. In so doing, it demonstrated its capability to determine agro climatic zones.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Geografia - IGCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)