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Identificación del estado fitosanitario de árboles mediante aprendizaje automático e imágenes de muy alta resolución espacial.

Authors :
Carlos Díaz-Rivera, Juan
Arturo Aguirre-Salado, Carlos
Loredo-Osti, Catarina
Escoto-Rodríguez, Martín
Source :
Scientia Agropecuaria; abr-jun2024, Vol. 15 Issue 2, p177-189, 13p
Publication Year :
2024

Abstract

<i>Copyright of Scientia Agropecuaria is the property of Scientia Agropecuaria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
Spanish
ISSN :
20779917
Volume :
15
Issue :
2
Database :
Complementary Index
Journal :
Scientia Agropecuaria
Publication Type :
Academic Journal
Accession number :
178259310
Full Text :
https://doi.org/10.17268/sci.agropecu.2024.013