Clíssia Barboza da Silva

Interactive machine learning for soybean seed and seedling quality classification

André Dantas de Medeiros, Nayara Pereira Capobiango, José Maria da Silva et al. · Scientific Reports · 2020 · 121 citations · Full text

Deep learning-based approach using X-ray images for classifying Crambe abyssinica seed quality

André Dantas de Medeiros, Rodrigo Cupertino Bernardes, Laércio Junio da Silva et al. · Industrial Crops and Products · 2021 · 74 citations

Image Classification, Image Analysis, Machine Learning +5

Ethoflow: Computer Vision and Artificial Intelligence-Based Software for Automatic Behavior Analysis

Rodrigo Cupertino Bernardes, Maria Augusta Pereira Lima, R. N. C. Guedes et al. · Sensors · 2021 · 66 citations · Full text

Integrating Optical Imaging Tools for Rapid and Non-invasive Characterization of Seed Quality: Tomato (Solanum lycopersicum L.) and Carrot (Daucus carota L.) as Study Cases

Patrícia Aparecida Galletti, Marcia Eugenia Amaral Carvalho, Welinton Yoshio Hirai et al. · Frontiers in Plant Science · 2020 · 50 citations · Full text

Plant Analysis, Precision Agriculture, Engineering +20

Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor

Clíssia Barboza da Silva, Magnólia de Mendonça Lopes, Júlio Marcos-Filho et al. · Revista Brasileira de Sementes · 2012 · 43 citations · Full text

Sun Hemp Seeds, Plant Analysis, Precision Agriculture +17