Diagnosis of losses in the mechanized harvest of two cultivars of industrial tomato

Authors

  • Cláudio Magela Soares Universidade Estadual de Goiás
  • Sueli Martins de Freitas Alves Universidade Estadual de Goiás
  • Elaine de Fatima Miranda Freitas Universidade Estadual de Goiás
  • Ivandro José de Freitas Rocha Universidade Estadual de Goiás
  • Caroline Xavier dos Santos Universidade Estadual de Goiás
  • Hiago Felipe Lopes de Farias Universidade Estadual de Goiás

DOI:

https://doi.org/10.5039/agraria.v14i1a5608

Keywords:

agricultural machinery, precision agriculture, spatial variability, statistical process control

Abstract

The production of industrial tomato in Brazil has been growing in the last years and the form of harvest adopted has been mechanized. The diagnosis of tomato fruit losses is fundamental to the harvesting process. The industrial process was destroyed and the statistical process control. The experiment was carried out in a field of 45 ha in an industrial tomato crop irrigated by central pivot in the municipality of Corumbá de Goiás, GO, Brazil. A sampling grid of 60 x 60 m (120 sample points) and 100 x 50 (84 sample points), respectively, were used as georeferenced samples to quantify weight loss and poisoning. As the main losses, in the mechanized harvest, the fruit of industrial tomato do not occur with mature fruit. A N901 cultivar had a lower quality relation than a HMX7885. The mechanical tomato harvesting process is influenced by the random power medium during a larger part of the operation. However, throughout the year, the tasks are not random, they are involved with the operation and the maintenance and maintenance of the process is necessary.

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Published

2019-03-31

How to Cite

Cláudio Magela Soares, Sueli Martins de Freitas Alves, Elaine de Fatima Miranda Freitas, Ivandro José de Freitas Rocha, Caroline Xavier dos Santos, & Hiago Felipe Lopes de Farias. (2019). Diagnosis of losses in the mechanized harvest of two cultivars of industrial tomato. Brazilian Journal of Agricultural Sciences, 14(1), 1-10. https://doi.org/10.5039/agraria.v14i1a5608

Issue

Section

Agricultural Engineering