Search Results - "Monteiro, Rita de C. M."

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  1. 1

    MACHINE LEARNING FOR SOYBEAN SEEDS LOTS CLASSIFICATION by Gadotti, Gizele I., Ascoli, Carla A., Bernardy, Ruan, Monteiro, Rita de C. M., Pinheiro, Romário de M.

    Published in Engenharia agrícola (01-01-2022)
    “…ABSTRACT The seed germination and vigor evaluation are essential for the sowing sector to measure the performance of different seed lots and improve the…”
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    Journal Article
  2. 2

    PREDICTION OF RANKING OF LOTS OF CORN SEEDS BY ARTIFICIAL INTELLIGENCE by Gadotti, Gizele I., Moraes, Nicacia A. B., Silva, Joseano G. da, Pinheiro, Romário de M., Monteiro, Rita de C. M.

    Published in Engenharia agrícola (01-01-2022)
    “…ABSTRACT The seed sector faces several challenges when it comes to ensuring a quick and accurate decision making when working with large amounts of data on…”
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    Journal Article
  3. 3

    FISSURE IDENTIFICATION METHODS IN RICE SEEDS AFTER ARTIFICIAL DRYING by Monteiro, Rita de C. M., Gadotti, Gizele I., Villela, Francisco A., Cardoso, Jessie T. C., Oliveira, Maurício de

    Published in Engenharia agrícola (01-01-2022)
    “…ABSTRACT New, efficient, low-cost techniques for image processing and alternative machine learning for seed processing are of academic and industrial interest…”
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    Journal Article
  4. 4

    FITTING Data Mining Settings for Ranking Seed Lots by Bernardy, Ruan, Gadotti, Gizele I., Monteiro, Rita de C. M., Pinto, Karine Von Ahn, Pinheiro, Romário de M.

    Published in Engenharia agrícola (01-01-2023)
    “…ABSTRACT To enhance speed and agility in interpreting physiological quality tests of seeds, The use of algorithms has emerged. This study aimed to identify…”
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  5. 5

    Stabilization of an MQ-3 Sensor for Ethanol Measurement in Cowpea Seeds by Cavalcante, Jerffeson A., Silva, Augusto H. M., Gadotti, Gizele I., de Araújo, Ádamo S., Monteiro, Rita de C. M.

    Published in Engenharia agrícola (01-01-2023)
    “…ABSTRACT The widespread adoption of sensor technology has made it a standard practice for obtaining precise and timely information during the harvest and…”
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    Journal Article
  6. 6

    Data mining for ranking sorghum seed lots by Rocha, Luciana D., Gadotti, Gizele I., Bernardy, Ruan, Pinheiro, Romário de M., Monteiro, Rita de C. M.

    Published in Caatinga (01-06-2023)
    “…ABSTRACT The ranking of seed lots is a fundamental process for all companies in the seed industry. This work aims to demonstrate data mining methods for…”
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    Journal Article