Using computer vision to identify seed-borne fungi and other targets associated with common bean seeds based on red–green–blue spectral data
Crossref DOI link: https://doi.org/10.1007/s40858-021-00485-7
Published Online: 2022-01-08
Published Print: 2022-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pozza, Edson Ampélio
de Carvalho Alves, Marcelo
Sanches, Luciana
Text and Data Mining valid from 2022-01-08
Version of Record valid from 2022-01-08
Article History
Received: 28 May 2021
Accepted: 26 November 2021
First Online: 8 January 2022
Conflict of interest
: The authors declare no competing interests.