Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Carolina Ortiz-Muñoz"'
Publikováno v:
Revista Facultad Nacional de Agronomía Medellín, Vol 73, Iss 2, Pp 9143-9149 (2020)
The objective of this research was to evaluate genotypes of iron- and zinc-enriched common beans during breeding in producers’ farms. Yield, disease reaction, and commercial grain characteristics were evaluated to achieve this objective. In three l
Externí odkaz:
https://doaj.org/article/72b7910ae2f04c5ba0f9831136f756bb
Autor:
Juan Camilo Henao-Rojas, María Gladis Rosero-Alpala, Carolina Ortiz-Muñoz, Carlos Enrique Velásquez-Arroyo, William Alfonso Leon-Rueda, Joaquín Guillermo Ramírez-Gil
Publikováno v:
Plants, Vol 10, Iss 2, p 247 (2021)
Machine learning (ML) and its multiple applications have comparative advantages for improving the interpretation of knowledge on different agricultural processes. However, there are challenges that impede proper usage, as can be seen in phenotypic ch
Externí odkaz:
https://doaj.org/article/14f2c27a2cd7403991d24d9e34689018
Autor:
Matthew W. Blair, Álvaro Tamayo-Vélez, Carolina Ortiz-Muñoz, Gloria Esperanza Santana-Fonseca
Publikováno v:
Revista Facultad Nacional de Agronomía Medellín, Volume: 73, Issue: 2, Pages: 9143-9149, Published: AUG 2020
Revista Facultad Nacional de Agronomía Medellín, Vol 73, Iss 2, Pp 9143-9149 (2020)
Revista Facultad Nacional de Agronomía Medellín, Vol 73, Iss 2, Pp 9143-9149 (2020)
The objective of this research was to evaluate genotypes of iron- and zinc-enriched common beans during breeding in producers' farms. Yield, disease reaction, and commercial grain characteristics were evaluated to achieve this objective. In three loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5254abec3c0e47f670ad5a8e588057a4
https://doi.org/10.15446/rfnam.v73n2.75588
https://doi.org/10.15446/rfnam.v73n2.75588
Autor:
Germán Franco, Jorge Alonso Bernal Estrada, Rocío Alexandra Ortiz Paz, Cipriano Arturo Díaz Diez, José Antonio Rubiano Rodríguez, Juan Camilo Henao Rojas, Luz Mary Quintero Vásquez, Álvaro de Jesús Tamayo Vélez, Carolina Ortiz Muñoz, Carolina Zuluaga Mejía, Luis Eladio Castro Tabares, Karen Lorena Ballestas Álvarez, Estefanía Isaza C., Gabriel J. Jaramillo H., Lucas Esteban Cano Gallego, Inés Amelia Madroñero Solarte
Esta guía está dirigida especialmente a los productores del Suroeste antioqueño para la producción de hierbabuena (Mentha spicata L.) y muestra el paso a paso de los aspectos a tener en cuenta para su producción en campo, cosecha, poscosecha y a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b0d52175ddf4fc96a10e4a0bf788f6
https://doi.org/10.21930/agrosavia.nbook.7405743
https://doi.org/10.21930/agrosavia.nbook.7405743
Autor:
Juan Camilo Henao-Rojas, María Gladis Rosero-Alpala, Carlos Enrique Velásquez-Arroyo, Joaquín Guillermo Ramírez-Gil, Carolina Ortiz-Muñoz, William Alfonso Leon-Rueda
Publikováno v:
Plants
Plants, Vol 10, Iss 247, p 247 (2021)
Volume 10
Issue 2
Plants, Vol 10, Iss 247, p 247 (2021)
Volume 10
Issue 2
Machine learning (ML) and its multiple applications have comparative advantages for improving the interpretation of knowledge on different agricultural processes. However, there are challenges that impede proper usage, as can be seen in phenotypic ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4150da62cef28136a293f6229fd2b3a9
https://pubmed.ncbi.nlm.nih.gov/33525314
https://pubmed.ncbi.nlm.nih.gov/33525314