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URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3352

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Assunto: search.filters.subject.agricultural mechanization

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    Mobile Application for Adjusting Air-Bast Sprayers in Coffee Plantation
    (Associação Brasileira de Engenharia Agrícola, 2022-09-13) Cunha, João P. A. R. da; Alves, Thales C.; Penha, Rafael S. A.
    Mobile application development advances, particularly for smartphones and tablets, have allowed farmers to make decisions more assertively in their agrobusiness management. This article addresses the development and evaluation of an app aimed at people who deal with the pesticide application technology in coffee farming, more specifically, adjustment and calibration of sprayers. This mobile app provides the main data necessary for a correct calibration of air-blast sprayers to apply pesticides in coffee planting. Its functionalities include calculation of the application rate for each situation (L ha-1) based on data obtained in the field, such as canopy volume. The app, called SprayCafé, was developed for the Android platform using the Java programming language in the integrated development environment Android Studio. After the development, the application was evaluated, based on a questionnaire answered by 139 users, who ranked the following requirements: ease of use, loading time, adequacy of screen resolution, data relevance, sequence of information, and applicability, among others. The system proved to be simple and robust; it was thus assessed as adequate to the field and to be of great value for coffee planting, especially because it allows safer and more adequate pesticide application. The graphical user interface is interactive and easy to use.
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    Mechanized harvesting of conilon coffee plants using a self-propelled machine
    (Departamento de Engenharia Agrícola - UFCG, 2022-10-24) Souza, Gustavo S. de; Bouzan, Antônio M. B.; Infantini, Maurício B.; Silva, Samuel de A.; Almeida, Robson F. de
    Coffee is one of the main commodities of global agribusiness and of outstanding economic and social relevance for Brazil. The lack of labor and its high cost are factors that worry coffee producers, mainly during the conilon coffee harvesting, which is performed manually. This study aimed to evaluate the efficiency of a self-propelled harvester under different conditions of machine adjustment and conduction of the Coffea canephora crop and measure its influence on the cost of harvesting compared to manual harvesting. Harvesting speed (800 to 1600 m h-1), rotation of the vibrating rod cylinder (1.0 and 1.5 RPM), number of orthotropic branches (one, two, and three), and plants with and without plagiotropic branches in the lower third were assessed. The increase in harvesting speed reduced the efficiencies of stripping and harvesting and defoliation. Increasing from one to three orthotropic branches per plant increased harvesting and stripping efficiencies, fruit loss on the ground, defoliation, and reduced pending load. The management without plagiotropic branches showed higher harvesting efficiency, lower loss on the ground, and lower defoliation. Harvesting speeds from 800 to 1600 m h-1 reduced the total and unit costs up to 62% compared to manual harvesting. Increasing harvesting efficiency above 70% has reduced harvesting costs by up to 79% compared to manual harvesting.