Search Results - "Dantas de Medeiros, André"

Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging by Medeiros, André Dantas de, Silva, Laércio Junio da, Ribeiro, João Paulo Oliveira, Ferreira, Kamylla Calzolari, Rosas, Jorge Tadeu Fim, Santos, Abraão Almeida, Silva, Clíssia Barboza da

“…Optical sensors combined with machine learning algorithms have led to significant advances in seed science. These advances have facilitated the development of…”
Get full text

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

“…In the agricultural industry, advances in optical imaging technologies based on rapid and non-destructive approaches have contributed to increase food…”
Get full text

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

“…Successive cycles of water absorption and loss favor weathering deterioration, one of the main factors that affect the quality of soybean seeds. This study…”
Get full text

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

“…ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was…”
Get full text

Low-cost system for multispectral image acquisition and its applicability to analysis of the physiological potential of soybean seeds by 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

“…The use of multispectral images has great potential to assess seed quality and represents a significant technological advance in the search for fast and…”
Get full text

Use of radiographic images for rapid and non-destructive assessment of crambe seed quality by Ribeiro, Alessandra da Silva, Neri, Tássia Fernanda Santos, Medeiros, André Dantas de, Milagres, Carla do Carmo, Silva, Laércio Junio da

“…Technologies based on electromagnetic radiation, such as the X-ray technique, has contributed to the establishment of new and promising methodologies for…”
Get full text

Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea by Rego, Carlos Henrique Queiroz, França-Silva, Fabiano, Gomes-Junior, Francisco Guilhien, Moraes, Maria Heloisa Duarte de, Medeiros, André Dantas de, Silva, Clíssia Barboza da

“…Recent advances in multispectral imaging-based technology have provided useful information on seed health in order to optimize the quality control process. In…”
Get full text

X-ray imaging and digital processing application in non-destructive assessing of melon seed quality by Medeiros, André Dantas de, Martins, Maycon Silva, Silva, Laércio Junio da, Pereira, Márcio Dias, León, Manuel Jesús Zavala, Dias, Denise Cunha Fernandes dos Santos

“…Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the…”
Get full text

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

“…ABSTRACT The assessment of the quality of native forest species seeds is extremely important and, in this sense, it is necessary to integrate new technologies…”
Get full text

Non-destructive identification of physical damage in mung bean (Vigna radiata L.) seeds by X-ray image analysis by Machado, Thiago Pulici Martins, Medeiros, André Dantas de, Pinheiro, Daniel Teixeira, Da Silva, Laércio Junio, Dias, Denise Cunha Fernandes dos Santos

“…Global demand for pulses such as the mung bean has grown in the last years. For successful production of these crops it is necessary to use high quality seeds…”
Get full text

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

“…The tetrazolium test has been recommended for evaluating the viability of seeds with slow and ununiform germination, especially agroforestry species. The aim…”
Get full text

Seed quality analysis of Senna siamea Lam. using image analysis techniques by Silva, Jackson Araújo da, Medeiros, André Dantas de, Pereira, Márcio Dias, Ramos, Amanda Karoliny Fernandes, Silva, Laércio Junio da

“…The inclusion of image analysis techniques for the accurate and rapid assessment of the quality of forest seeds is highly desirable. The use of digital…”
Get full text

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

“…ABSTRACT The use of new methodological approaches and inclusion of non-destructive evaluations in determining the quality of forest seeds has proven to be of…”
Get full text

GERMINATION AND POST-SEMINAL DEVELOPMENT OF Melaleuca alternifolia (MAIDEN & BETCHE) CHEEL by Pinheiro, Daniel Teixeira, Medeiros, André Dantas de, Hilst, Paulo César, Pinheiro, Antônio Lelis, Dias, Denise Cunha Fernandes dos Santos

“…ABSTRACT There is little information regarding the germination pattern, seed characterization, and seedling development of Melaleuca alternifolia. This study…”
Get full text

Interactive machine learning for soybean seed and seedling quality classification by 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

“…New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and…”
Get full text

Vigor of maize seeds determined by a free image analysis system by Medeiros, André Dantas de, Pereira, Márcio Dias, Silva, Íris Renata Freire, Capobiango, Nayara Pereira, Flores, Milton Edgar Pereira

“…New and refined technologies based on computerized procedures create the potential for automating laboratory evaluations, constituting an alternative to reduce…”
Get full text

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

“…•Optical sensors allow real-time diagnosis of the hormetic effects of low-dose gamma radiation.•The reflectance, autofluorescence, texture and color features…”
Get full text

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

“…Conventional methods for detecting seed-borne fungi are laborious and time-consuming, requiring specialized analysts for characterization of pathogenic fungi…”
Get full text

IJCropSeed: An open-access tool for high-throughput analysis of crop seed radiographs by Dantas de Medeiros, André, Junio da Silva, Laércio, Maria da Silva, José, Cunha Fernandes dos Santos Dias, Denise, Dias Pereira, Márcio

“…[Display omitted] •New free and easy-to-use tool for analysis of seed radiography of agricultural species.•Tissue integrity and seed morphometry can be…”
Get full text

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

“…The sanitary quality of seed is essential in agriculture. This is because pathogenic fungi compromise seed physiological quality and prevent the formation of…”
Get full text