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From real to virtual eyes 113 64

a classification almost 4.0 tomatoes.

Authors

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

                  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