André Dantas de Medeiros

Computer Vision as a Complementary Method to Vigour Analysis in Maize Seeds

André Dantas de Medeiros, Márcio Dias Pereira, Tássia Fernanda Santos Neri Soares, 2018 .

IJCropSeed: An open-access tool for high-throughput analysis of crop seed radiographs

André Dantas de Medeiros, Márcio Dias Pereira, Laércio Junio da Silva, 2020, Comput. Electron. Agric..

SAPL®: a free software for determining the physiological potential in soybean seeds1

André Dantas de Medeiros, Márcio Dias Pereira, A. D. Medeiros, 2018, Pesquisa Agropecuária Tropical.

Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging

André Dantas de Medeiros, Laércio Junio da Silva, João Paulo Oliveira Ribeiro, 2020, Sensors.

SeedCalc, a new automated R software tool for germination and seedling length data processing

André Dantas de Medeiros, Laércio Junio da Silva, Ariadne Morbeck Santos Oliveira, 2019, Journal of Seed Science.

Detection of Drechslera avenae (Eidam) Sharif [Helminthosporium avenae (Eidam)] in Black Oat Seeds (Avena strigosa Schreb) Using Multispectral Imaging

André Dantas de Medeiros, Clíssia Barboza da Silva, Francisco Guilhien Gomes-Junior, 2020, Sensors.

Hormetic effects of low-dose gamma rays in soybean seeds and seedlings: A detection technique using optical sensors

André Dantas de Medeiros, Clíssia Barboza da Silva, Valter Arthur, 2021, Comput. Electron. Agric..