Prediction of the corn grains yield through artificial intelligence

Currently, the determination of the quality of the cereals is done manually by grain classifier experts prior to the marketing stage. In this paper we present a web software tool that allows determining the quality level of a corn sample automatically from an image of it. Image processing algorithms...

Full description

Autores:
Varela, Noel
Silva, Jesus
Bonerge Pineda, Omar
Cabrera, Danelys
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8785
Acceso en línea:
https://hdl.handle.net/11323/8785
https://doi.org/10.1016/j.procs.2020.03.080
https://repositorio.cuc.edu.co/
Palabra clave:
Cereal quality
Image processing
Web tool
Rights
openAccess
License
CC0 1.0 Universal