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URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3352
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Item Technical and economic evaluation of different operating modes for mechanized fertilizer application in coffee plantations(Editora UFLA, 2020) Andrade, Alan Delon; Ferraz, Gabriel Araújo e Silva; Faria, Rafael de Oliveira; Barros, Murilo Machado de; Silva, Fábio Moreira da; Sarri, Daniele; Vieri, MarcoThe present study aimed to investigate the performance parameters and related costs of a machinery set composed of a tractor and a machine for fertilizers and soil correctives application, working in a coffee yard. It was evaluated two different operating modes. For the first operating mode (OM1), the machinery applied the total recommended dose to only one side of the plants and traveled in only half of the plot interrows. For the second operating mode (OM2), the machinery applied half the recommended dose to each side of the plants and traveled in all of the plot interrows. The study was performed at Bom Jardim Farm, located in the municipality of Bom Sucesso, state of Minas Gerais, Brazil. The performance parameters included effective field capacity and effective time. The hourly cost of the fertilizers and soil correctives application operation was determined based on the farm’s management data and the effective cost was obtained by relating the hourly cost and the effective time. The results showed that OM1 implies higher effective field capacity and lower effective cost, with the cost of only 50.1% of that found for OM2.Item Technical and economic viability of manual harvesting coffee yield maps(Editora UFLA, 2020) Faria, Rafael de Oliveira; Silva, Fábio Moreira; Ferraz, Gabriel Araújo e Silva; Herrera, Miguel Angel Diaz; Barbosa, Brenon Diennevan Souza; Alonso, Diego José Carvalho; Soares, Daniel VeigaPrecision coffee growing is a concept that implies the use of precision agriculture techniques in coffee plantations. For the coffee growing, the precision electronic resources coupled to the harvesters are very scarce. Thereby, the harvest of coffee plantations that compose the grid sampling for generation of thematic maps can be performed manually. The aim of the present study was to generate a linear regression model to estimate the time required to harvest, estimate the labor costs to harvest manually the georeferenced sample points for generation of coffee yield maps. The study was performed in a coffee area of 56 hectares using two sampling points per hectare, totaling 112 points, being evaluated four coffee plants for each point. The manual harvest of the points was performed by four rural workers with experience in the coffee harvest. Afterwards, the collected volume was measured by a graduated container and the times were obtained by the digital stopwatch. Based on the data obtained in the field, a linear correlation model was established between the harvest time of each sampling point and the yield of the point, whose R² value was 78.27, cost was R$ 8.92 per point. These results are relevant for estimating the amount of labor force required to generate manually harvest yield maps according to the producer’s coffee yield estimate, contributing to the closure of the precision coffee growing cycle.