An image-processing based algorithm to automatically identify plant disease visual symptoms A Camargo, JS Smith Biosystems engineering 102 (1), 9-21, 2009 | 602 | 2009 |
Image pattern classification for the identification of disease causing agents in plants A Camargo, JS Smith Computers and electronics in agriculture 66 (2), 121-125, 2009 | 421 | 2009 |
Encyclopedia of agrophysics WEH Blum, J de Baerdemaeker, CW Finkl, R Horn, Y Pachepsky, ... Springer Science & Business Media, 2011 | 138 | 2011 |
Permutation–based statistical tests for multiple hypotheses A Camargo, F Azuaje, H Wang, H Zheng Source code for biology and medicine 3, 1-8, 2008 | 126 | 2008 |
Plant phenotyping and phenomics for plant breeding GA Lobos, AV Camargo, A Del Pozo, JL Araus, R Ortiz, JH Doonan Frontiers in plant science 8, 313980, 2017 | 85 | 2017 |
Linking gene expression and functional network data in human heart failure A Camargo, F Azuaje PLoS One 2 (12), e1347, 2007 | 55 | 2007 |
Identification of dilated cardiomyopathy signature genes through gene expression and network data integration A Camargo, F Azuaje Genomics 92 (6), 404-413, 2008 | 53 | 2008 |
Functional mapping of quantitative trait loci (QTLs) associated with plant performance in a wheat MAGIC mapping population AV Camargo, I Mackay, R Mott, J Han, JH Doonan, K Askew, F Corke, ... Frontiers in plant science 9, 360778, 2018 | 40 | 2018 |
Determining phenological patterns associated with the onset of senescence in a wheat MAGIC mapping population AV Camargo, R Mott, KA Gardner, IJ Mackay, F Corke, JH Doonan, ... Frontiers in Plant Science 7, 1540, 2016 | 39 | 2016 |
Objective definition of rosette shape variation using a combined computer vision and data mining approach A Camargo, D Papadopoulou, Z Spyropoulou, K Vlachonasios, ... PloS one 9 (5), e96889, 2014 | 39 | 2014 |
Genotypic variations in leaf and whole-plant water use efficiencies are closely related in bread wheat genotypes under well-watered and water-limited conditions during grain … A Del Pozo, AM Méndez-Espinoza, S Romero-Bravo, M Garriga, ... Scientific Reports 10 (1), 460, 2020 | 33 | 2020 |
Latin America: a development pole for phenomics AV Camargo, GA Lobos Frontiers in Plant Science 7, 209315, 2016 | 30 | 2016 |
AquaCropR: Crop Growth Model for R AVC Rodriguez, ES Ober Agronomy 9 (378), 2019 | 26* | 2019 |
Predicting future biomass yield in Miscanthus using the carbohydrate metabolic profile as a biomarker AL Maddison, A Camargo‐Rodriguez, IM Scott, CM Jones, DMO Elias, ... Gcb Bioenergy 9 (7), 1264-1278, 2017 | 19 | 2017 |
Root imaging showing comparisons in root distribution and ontogeny in novel Festulolium populations and closely related perennial ryegrass varieties MW Humphreys, JH Doonan, R Boyle, AC Rodriguez, CL Marley, ... Food and Energy Security, e00145, 2018 | 18 | 2018 |
Bio-based value chains potential in the management of cacao pod waste in Colombia, a case study DC Meza-Sepúlveda, AM Castro, A Zamora, JW Arboleda, AM Gallego, ... Agronomy 11 (4), 693, 2021 | 17 | 2021 |
Emerging Advanced Technologies to Mitigate the Impact of Climate Change in Africa P Francisco Ribeiro, AV Camargo Rodriguez Plants 9 (3), 381, 2020 | 14 | 2020 |
Phenomics JM Hancock CRC Press, 2014 | 13 | 2014 |
Challenges of crop phenomics in the post-genomic era V Gegas, A Gay, A Camargo, J Doonan Phenomics 142, 171, 2014 | 13 | 2014 |
Intelligent systems for the assessment of crop disorders A Camargo, JP Molina, J Cadena-Torres, N Jimenez, JT Kim Computers and electronics in agriculture 85, 1-7, 2012 | 13 | 2012 |