314 resultados para ORGANOPHOSPHORUS PESTICIDES


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The purpose of this study envisaged the quantification of skin and respiratory exposures occasioned by work conditions during pesticide spraying of citrus fruits using hand gun sprayers; the evaluation of the efficiency of individual and group protection measures for the workers; the determination of workers' most exposed body regions; and the classification of work conditions, with and without the tested work-safety protection measures as recommended for the registered pesticides used to control the main pests and diseases that attack these types of trees and fruits. The AZR protection equipment proved to be the most efficient for the tractor driver, when spraying using pistol sprayers. The two sets of individual protection equipment that were checked also proved to be efficient. The most exposed regions of the tractor driver's body were the thighs, the front of the legs, the feet and hands. The most exposed regions of the individual sprayer working on foot were the hands and feet.

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The objectives of this study were: a) to quantify dermal and respiratory exposure resulting from work conditions in the application of pesticides on citrus crops using a air-assisted sprayer and by preparing the spray in a tank with a capacity of2.000 L; b) to evaluate the measures of individual protection for these workers; c) to determine the areas of the worker's body most exposed; and d) to classify the work conditions with and without the protective measures tested, with regard to the occupational safety of the recommendations for the pesticides used in controlling the main pests and diseases of this crop. It was shown that for the tractor driver and sprayer operator applyng pesticides on citrus trees, the most efficient protective measures were the AZR ensemble and the Real cabin. The AZR ensemble was effective in controlling exposure of the spray preparer, because it was sufficient to turn work conditions from unsafe to safe. The area of the body most exposed under the two work conditions studied was the hands of the workers.

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Heavy metals and pesticides are usually associated with the main problems humankind has created in the natural environment. However, compounds with characteristics of essential macronutrients are causing serious environmental changes that could intensify, compromising the diversity of life on the planet. This is the case of nitrogen compounds, produced by industrial processes for use in intensive agriculture in addition to those unwittingly produced from human activities, available in excess in the environment. These compounds warrant greater attention from researchers in various fields of knowledge and public agencies for environmental control, toward minimizing their availability in the environment, thereby returning conditions closer to the natural environmental balance of the planet.

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Agronomia (Proteção de Plantas) - FCA

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The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by pre-processing them to extract image features. Such features are then submitted to a support vector machine and an artificial neural network in order to find out the most appropriate route. A comparison of the two approaches was performed to ascertain the one presenting the best outcome. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine and of an artificial neural network, which so far presented respectively around 93% and 90% accuracy in predicting the appropriate route. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The study aimed to evaluate energy indicators of a new production system of yellow passion fruit in Marilia-SP. Analyzed the inputs of the biological energy, fossil and industrial and output energy in the form of fruits produced per unit area as well as five energy indicators. The input energy amounted 155,810.13MJ ha(-1). Chemical fertilizers and pesticides accounted for 71% and 24% of indirect energy industry, respectively. The activity generated per cycle / ha, 587.700.00MJ, and cultural productivity 0.19MJ kg(-1). The efficiency culture was 3.77. The cultural energy net totaled 431,889.87MJ ha(-1). The energy efficiency (4.17) and energy balance (550,312.91MJ ha(-1)) was favorable. It was concluded that the direct energy consumption from fossil fuels, even though significant, yet permits the production of the fruit of an environmentally sustainable manner. Chemical fertilizers and pesticides were the most representative of indirect energy industry due to the intensification of fertilization as a means of disease prevention.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)