Detection of Harvesting in Tomatoes Supported by Precision Agriculture Techniques

  • Diogo Nunes UFRRJ
  • Carlos Werly UFRRJ
  • Pedro Vieira Cruz UFRRJ
  • Marden Manuel Marques CEASA/RJ
  • Sérgio Manuel Serra da Cruz UFRRJ

Abstract


More and more farmers are realizing that the decision-making and use of intelligent systems in agriculture is more than a trend, it becomes a matter of survival and necessity due to the globalization of the economy and the competitiveness of agricultural products. This work presents an approach focused on improving the quality of tomato crops. We developed low-cost computational strategies aimed at supporting family farmers in the early detection of firewood. Our approach uses techniques from the field of Precision Agriculture, being applied in tomato cultivars of an experimental field where field observations, images and annotations collected by farmers and used in neural networks for the detection of the disease were processed.
Keywords: Computação aplicada à agrigultura, Aplicativos móveis
Published
2014-11-03
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NUNES, Diogo; WERLY, Carlos; CRUZ, Pedro Vieira; MARQUES, Marden Manuel; CRUZ, Sérgio Manuel Serra da. Detection of Harvesting in Tomatoes Supported by Precision Agriculture Techniques. In: REGIONAL SCHOOL ON INFORMATION SYSTEMS OF RIO DE JANEIRO (ERSI-RJ), 1. , 2014, Niterói. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2014 . p. 25-32.