SeedCalc, a new automated R software tool for germination and seedling length data processing von Silva, Laércio Junio da, Medeiros, André Dantas de, Oliveira, Ariadne Morbeck Santos

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Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging von de Medeiros, Andre Dantas, da Silva, Laercio Junio, Ribeiro, Joao Paulo Oliveira, Ferreira, Kamylla Calzolari, Rosas, Jorge Tadeu Fim, Santos, Abraao Almeida, da Silva, Clissia Barboza

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Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality von Barboza da Silva, Clíssia, Oliveira, Nielsen Moreira, de Carvalho, Marcia Eugenia Amaral, de Medeiros, André Dantas, de Lima Nogueira, Marina, dos Reis, André Rodrigues

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X-ray test on passion fruit seeds submitted to different aryl removal methods von Severiano, Rogerio Luciano, Pinheiro, Paloma Rayane, Gomes Junior, Francisco Guilhien, Medeiros, Andre Dantas de, PEREIRA, MARCIO DIAS

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Weathering deterioration in pre-harvest of soybean seeds: physiological, physical, and morpho-anatomical changes von Pinheiro, Daniel Teixeira, Fernandes dos Santos Dias, Denise Cunha, de Medeiros, Andre Dantas, Oliveira Ribeiro, Joao Paulo, da Silva, Felipe Lopes, da Silva, Laercio Junio

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Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds von Medeiros, André Dantas de, Araújo, Joyce de Oliveira, León, Manuel Jesús Zavala, Silva, Laércio Junio da, Dias, Denise Cunha Fernandes dos Santos

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Low-cost system for multispectral image acquisition and its applicability to analysis of the physiological potential of soybean seeds von Soares, Júlia Martins, Medeiros, André Dantas de, Pinheiro, Daniel Teixeira, Rosas, Jorge Tadeu Fim, Silva, Laércio Junio da, Machado, Daniel Lucas Magalhães, Dias, Denise Cunha Fernandes dos Santos

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Quality classification of Jatropha curcas seeds using radiographic images and machine learning von Medeiros, André Dantas de, Pinheiro, Daniel Teixeira, Xavier, Wanderson Andrade, Silva, Laércio Junio da, Dias, Denise Cunha Fernandes dos Santos

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Interactive machine learning for soybean seed and seedling quality classification von de Medeiros, André Dantas, Capobiango, Nayara Pereira, da Silva, José Maria, da Silva, Laércio Junio, da Silva, Clíssia Barboza, dos Santos Dias, Denise Cunha Fernandes

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Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea von Rego, Carlos Henrique Queiroz, Franca-Silva, Fabiano, Gomes-Junior, Francisco Guilhien, de Moraes, Maria Heloisa Duarte, de Medeiros, Andre Dantas, da Silva, Clissia Barboza

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Use of radiographic images for rapid and non-destructive assessment of crambe seed quality von Ribeiro, Alessandra da Silva, Neri, Tassia Fernanda Santos, de Medeiros, Andre Dantas, Milagres, Carla do Carmo, da Silva, Laercio Junio

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X-ray imaging and digital processing application in non-destructive assessing of melon seed quality von de Medeiros, Andre Dantas, Martins, Maycon Silva, da Silva, Laercio Junio, Pereira, Marcio Dias, Zavala Leon, Manuel Jesus, dos Santos Dias, Denise Cunha Fernandes

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Hormetic effects of low-dose gamma rays in soybean seeds and seedlings: A detection technique using optical sensors von Oliveira, Nielsen Moreira, Medeiros, André Dantas de, Nogueira, Marina de Lima, Arthur, Valter, Mastrangelo, Thiago de Araújo, Barboza da Silva, Clíssia

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ASSESSMENT OF THE PHYSICAL AND PHYSIOLOGICAL QUALITY OF Piptadenia gonoacantha SEEDS (MART.) J. F. MACBR. USING IMAGE ANALYSIS von Pinheiro, Daniel Teixeira, Capobiango, Nayara Pereira, de Medeiros, Andre Dantas, Caiafa, Karine Fernandes, Fernandes dos Santos Dias, Denise Cunha, Pinheiro, Antonio Lelis

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NON-DESTRUCTIVE IDENTIFICATION OF PHYSICAL DAMAGE IN MUNG BEAN (Vigna radiata L.) SEEDS BY X-RAY IMAGE ANALYSIS von Martins Machado, Thiago Pulici, de Medeiros, Andre Dantas, Pinheiro, Daniel Teixeira, da Silva, Laercio Junio, Fernandes dos Santos Dias, Denise Cunha

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Detection of Drechslera avenae (Eidam) Sharif [ Helminthosporium avenae (Eidam)] in Black Oat Seeds ( Avena strigosa Schreb) Using Multispectral Imaging von França-Silva, Fabiano, Rego, Carlos Henrique Queiroz, Gomes-Junior, Francisco Guilhien, Moraes, Maria Heloisa Duarte de, Medeiros, André Dantas de, Silva, Clíssia Barboza da

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Adequacy of the tetrazolium test to evaluate the viability of Jatropha curcas L. seeds von Araújo, Joyce de Oliveira, Pinheiro, Daniel Teixeira, Dias, Denise Cunha Fernandes dos Santos, Hilst, Paulo César, Medeiros, André Dantas de

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Seed quality analysis of Senna siamea Lam. using image analysis techniques von da Silva, Jackson Araujo, de Medeiros, Andre Dantas, Pereira, Marcio Dias, Fernandes Ramos, Amanda Karoliny, da Silva, Laercio Junio

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FT-NIR and linear discriminant analysis to classify chickpea seeds produced with harvest aid chemicals von Ribeiro, João Paulo Oliveira, Medeiros, André Dantas de, Caliari, Italo Pelição, Trancoso, Ana Clara Reis, Miranda, Rafaela Marques de, Freitas, Francisco Claudio Lopes de, Silva, Laércio Junio da, Dias, Denise Cunha Fernandes dos Santos

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RELATIONSHIP BETWEEN INTERNAL MORPHOLOGY AND PHYSIOLOGICAL QUALITY OF Leucaena leucocephala SEEDS USING IMAGE ANALYSIS von Medeiros, André Dantas de, Zavala-León, Manuel Jesús, Araújo, Joyce de Oliveira, Pereira, Márcio Dias, Dias, Denise Cunha Fernandes dos Santos, Silva, Laércio Junio

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