Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Eliel Petro"'
Autor:
Andres F. Duque, Diego Patino, Julian D. Colorado, Eliel Petro, Maria C. Rebolledo, Ivan F. Mondragon, Natalia Espinosa, Nelson Amezquita, Oscar D. Puentes, Diego Mendez, Andres Jaramillo-Botero
Publikováno v:
Sensors, Vol 23, Iss 13, p 5917 (2023)
The use of Unmanned Aerial Vehicle (UAV) images for biomass and nitrogen estimation offers multiple opportunities for improving rice yields. UAV images provide detailed, high-resolution visual information about vegetation properties, enabling the ide
Externí odkaz:
https://doaj.org/article/f18632447a204ec381eb0b420fe0f5ee
Autor:
Johanna Echeverri-Rico, Eliel Petro, Paola A Fory, Gloria M Mosquera, Jillian M Lang, Jan E Leach, Juan D Lobaton, Gabriel Garcés, Ricardo Perafán, Nelson Amezquita, Shirley Toro, Brayan Mora, Juan B Cuasquer, Julián Ramirez-Villegas, Maria Camila Rebolledo, Edgar A Torres
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0252061 (2021)
Bacterial panicle blight (BPB) caused by Burkholderia glumae is one of the main concerns for rice production in the Americas since bacterial infection can interfere with the grain-filling process and under severe conditions can result in high sterili
Externí odkaz:
https://doaj.org/article/63b66a53afa241bcafeb28783dfb6b41
Autor:
Julian D Colorado, Francisco Calderon, Diego Mendez, Eliel Petro, Juan P Rojas, Edgar S Correa, Ivan F Mondragon, Maria Camila Rebolledo, Andres Jaramillo-Botero
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0239591 (2020)
Traditional methods to measure spatio-temporal variations in biomass rely on a labor-intensive destructive sampling of the crop. In this paper, we present a high-throughput phenotyping approach for the estimation of Above-Ground Biomass Dynamics (AGB
Externí odkaz:
https://doaj.org/article/22c558fdd7e840deb3dc61c2e88c1200
Autor:
Jaramillo-Botero, Andres F. Duque, Diego Patino, Julian D. Colorado, Eliel Petro, Maria C. Rebolledo, Ivan F. Mondragon, Natalia Espinosa, Nelson Amezquita, Oscar D. Puentes, Diego Mendez, Andres
Publikováno v:
Sensors; Volume 23; Issue 13; Pages: 5917
The use of Unmanned Aerial Vehicle (UAV) images for biomass and nitrogen estimation offers multiple opportunities for improving rice yields. UAV images provide detailed, high-resolution visual information about vegetation properties, enabling the ide
Autor:
Shirley Toro, Jillian M. Lang, Gabriel Garces, Ricardo Perafán, Johanna Echeverri-Rico, Nelson Amezquita, Eliel Petro, Juan B. Cuasquer, Julian Ramirez-Villegas, Juan David Lobaton, Paola A. Fory, Edgar Torres, Jan E. Leach, Gloria Mosquera, Brayan Mora, Maria Camila Rebolledo
Publikováno v:
PLoS ONE
PLoS ONE, Public Library of Science, 2021, 16 (5), ⟨10.1371/journal.pone.0252061⟩
PLoS ONE, Vol 16, Iss 5, p e0252061 (2021)
PloS One
PLoS ONE, Public Library of Science, 2021, 16 (5), ⟨10.1371/journal.pone.0252061⟩
PLoS ONE, Vol 16, Iss 5, p e0252061 (2021)
PloS One
Bacterial panicle blight (BPB) caused by Burkholderia glumae is one of the main concerns for rice production in the Americas since bacterial infection can interfere with the grain-filling process and under severe conditions can result in high sterili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a784525c907be3042287fd1344ba7d07
https://hal.inrae.fr/hal-03303268/document
https://hal.inrae.fr/hal-03303268/document
Publikováno v:
2020 Virtual Symposium in Plant Omics Sciences (OMICAS).
Low radiation during grain filling is one of the main climatic factors limiting rice grain yields. This study aims at identifying genetic regions associated with morphophysiological traits conferring tolerance to low radiation during grain filling. P
Autor:
Eliel Petro, Maria Camila Rebolledo
Publikováno v:
2020 Virtual Symposium in Plant Omics Sciences (OMICAS).
Low radiation is a determining factor in the development and growth of rice crop and causes yield losses in many regions of the world. We evaluate the diversity of response of rice varieties to a reduction of radiation during grain filling stage yiel
Autor:
Diego Mendez, Eliel Petro, Juan P. Rojas, Maria Camila Rebolledo, Julian Colorado, Andres Jaramillo-Botero, Edgar S. Correa, Francisco Calderon, Iván F. Mondragón
Publikováno v:
PLoS ONE
PLoS ONE, Public Library of Science, 2020, 15 (10), ⟨10.1371/journal.pone.0239591⟩
PLoS ONE, Vol 15, Iss 10, p e0239591 (2020)
PloS One
PLoS ONE, Public Library of Science, 2020, 15 (10), ⟨10.1371/journal.pone.0239591⟩
PLoS ONE, Vol 15, Iss 10, p e0239591 (2020)
PloS One
International audience; Traditional methods to measure spatio-temporal variations in biomass rely on a labor-intensive destructive sampling of the crop. In this paper, we present a high-throughput phenotyping approach for the estimation of Above-Grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::497c3726b48358bc00b5730d2f6055c5
https://hal.inrae.fr/hal-03436148/file/2020_Colorado_PlosOne.pdf
https://hal.inrae.fr/hal-03436148/file/2020_Colorado_PlosOne.pdf
Autor:
Natalia Cera-Bornacelli, Iván F. Mondragón, Francisco Calderon, Eliel Petro, Julian Colorado, Andres Jaramillo-Botero, David Cuellar, Juan S. Caldas, Maria Camila Rebolledo
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2020, 12 (20), ⟨10.3390/rs12203396⟩
Remote Sensing; Volume 12; Issue 20; Pages: 3396
Remote Sensing, MDPI, 2020, 12 (20), ⟨10.3390/rs12203396⟩
Remote Sensing; Volume 12; Issue 20; Pages: 3396
Leaf nitrogen (N) directly correlates to chlorophyll production, affecting crop growth and yield. Farmers use soil plant analysis development (SPAD) devices to calculate the amount of chlorophyll present in plants. However, monitoring large-scale cro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb199ba787ba93e02479d056e5f974d
https://hal.inrae.fr/hal-03014837/file/2020_Colorado_remote-sensing.pdf
https://hal.inrae.fr/hal-03014837/file/2020_Colorado_remote-sensing.pdf
Autor:
Diego Patino, Julian Colorado, Juan P. Rojas, Eliel Petro, Carol Martinez, Carlos Andres Devia, Maria Camila Rebolledo, Iván F. Mondragón
Publikováno v:
Journal of Intelligent and Robotic Systems
This paper presents a high-throughput method for Above Ground Estimation of Biomass (AGBE) in rice using multispectral near-infrared (NIR) imagery captured at different scales of the crop. By developing an integrated aerial crop monitoring solution u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ca1b9027a6fca42fb9790ae70c1ae3
http://agritrop.cirad.fr/592197/
http://agritrop.cirad.fr/592197/