Open access
2026
Comparison of machine learning techniques for identifying weeds in maize crops
ABSTRACT The present study was conducted at the Federal Rural University of Rio de Janeiro, in the years 2024 and 2025, to evaluate the performance of three supervised classifiers - maximum likelihood, random forest, and support vector machine - for spectral discrimination between maize (Zea mays L.) and the weed (Cype...
T. M. de Souza, M. M. de Barros, J. C. de Siqueira et al.
· Revista Brasileira de Engenh... · 0 citations