How Can the Engineering Parameters of the NIR Grader Affect the Efficiency of Seed Grading? by Tatyana P. Novikova, Clíssia Barboza Mastrangelo, Paweł Tylek, Svetlana A. Evdokimova, Arthur I. Novikov

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The Root Collar Diameter Growth Reveals a Strong Relationship with the Height Growth of Juvenile Scots Pine Trees from Seeds Differentiated by Spectrometric Feature by Tatyana P. Novikova, Paweł Tylek, Clíssia Barboza Mastrangelo, Michael V. Drapalyuk, Sergei V. Kharin, Arthur I. Novikov

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Deep-Learning Approach for <i>Fusarium</i> Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology by Rodrigo Cupertino Bernardes, André De Medeiros, Laercio da Silva, Leo Cantoni, Gustavo Ferreira Martins, Thiago Mastrangelo, Arthur Novikov, Clíssia Barboza Mastrangelo

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Fungal identification in peanuts seeds through multispectral images: Technological advances to enhance sanitary quality by Julia Marconato Sudki, Gustavo Roberto Fonseca de Oliveira, André Dantas de Medeiros, Thiago Mastrangelo, Valter Arthur, Edvaldo Aparecido Amaral da Silva, Clíssia Barboza Mastrangelo

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An Approach Using Emerging Optical Technologies and Artificial Intelligence Brings New Markers to Evaluate Peanut Seed Quality by Gustavo Roberto Fonseca de Oliveira, Clíssia Barboza Mastrangelo, Welinton Yoshio Hirai, Thiago Barbosa Batista, Julia Marconato Sudki, Ana Carolina Picinini Petronilio, Carlos Alexandre Costa Crusciol, Edvaldo Aparecido Amaral da Silva

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A Reliable Method to Recognize Soybean Seed Maturation Stages Based on Autofluorescence-Spectral Imaging Combined With Machine Learning Algorithms by Thiago Barbosa Batista, Clíssia Barboza Mastrangelo, André Dantas de Medeiros, Ana Carolina Picinini Petronilio, Gustavo Roberto Fonseca de Oliveira, Isabela Lopes dos Santos, Carlos Alexandre Costa Crusciol, Edvaldo Aparecido Amaral da Silva

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