From real to virtual eyes

a classification almost 4.0 tomatoes.

Authors

  • Mariana Matulovic Unesp/Brazil
  • Cleber Alexandre de Amorim
  • Angela Vacaro de Souza
  • Paulo Sérgio Barbosa dos Santos
  • Geovane Yuji Aparecido Sakata
  • Guilherme Pulizzi Costa
  • Douglas Cardozo de Almeida
  • Jéssica Marques de Mello

DOI:

https://doi.org/10.31686/ijier.vol7.iss11.1994

Keywords:

Agricultural machinery, sensing, technologies 3.0, CIELAB

Abstract

The change in the color of the vegetables peel during the ripening process is the main criterion used by the consumer to define the fruit ripeness degree and for the producer to determine the best time of harvest. This relationship between bark coloration and different maturation stages allows the producer to establish harvest planning and extend shelf life.  Students and faculty of the Biosystems Engineering course at São Paulo State University (UNESP), Tupã Campus, designed and developed a low-cost prototype of a fruit sorting belt, specifically for cherry group tomatoes. In the future, improvement in machinery with the insertion of new devices such as cameras, embedded system, combines sensor technology 3.0 with machine learning 4.0.

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Published

2019-11-01

How to Cite

Matulovic, M., Alexandre de Amorim, C., Vacaro de Souza, A., Sérgio Barbosa dos Santos, P., Yuji Aparecido Sakata, G., Pulizzi Costa, G., Cardozo de Almeida, D., & Marques de Mello, J. (2019). From real to virtual eyes: a classification almost 4.0 tomatoes. International Journal for Innovation Education and Research, 7(11), 1225-1234. https://doi.org/10.31686/ijier.vol7.iss11.1994

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