Artículos

Estado:
Año Estado Descripción Proyecto Editar
2022

Ayala M; López L; Jaramillo A; Valencia D. Electrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (iii) (A1)

Nanosensores
2022

González S; Valencia D; Gálvez J; Leyva M; Juárez O; Islas M; Calvillo M; Höpfl H; Íñiguez R; Rocha F; Ochoa K. DNA-Binding Properties of Bis-N-substituted Tetrandrine Derivatives. https://pubs.acs.org/doi/10.1021/acsomega.2c00225?ref=PDF

 

Nanosensores
2022

Romero M; Finke J; Rocha C. A top-down supervised learning approach to hierarchical multi-label classification in networks (A1) https://appliednetsci.springeropen.com/articles/10.1007/s41109-022-00445-3

In-silico
2022

Fonthal G; Giraldo L; Tirado L. Study of the Senescence of Rice Leaves throughStationary and Time-resolvedPhotoluminescence.

Fenómica
2022

 

Silva A; Montoya M; Quintero C; Cuasquer J; Tohme J; Graterol E; Cruz M; Lorieux M. A more complete story of the geneticbases of resistance 1to the Rice hoja blanca virus. https://www.researchsquare.com/article/rs-1225485/v1

Seguridad Alimentaria
2022

Valencia D; Ayala M; Lopez L; Jaramillo A. ELECTROCHEMICAL MODIFIED ELECTRODE WITH BISMUTH FILM FOR ULTRASENSITIVE DETERMINATION OF ALUMINUM (III)

Nanosensores
2021

Perdomo, S; Marmolejo-Tejada J.M.; Jaramillo-Botero, A. Bio-Nanosensors: Fundamentals and Recent Applications.
Journal of The Electrochemical Society. https://iopscience.iop.org/article/10.1149/1945-7111/ac2972

Nanosensores
2021

Forero, MG; Mambuscay, CL; Monroy, MF; Miranda, SL; Méndez, D; Valencia, MO; Selvaraj, MG. Comparative
Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops. Plants 2021, 10,
1791. https://doi.org/10.3390/plants10091791

Nanosensores
2021

Riccio C; Finke J; Rocha C. Identifying Stress Responsive Genes Using Overlapping Communities (A1). https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04462-4

In-silico
2021

Forero, MG; Mambuscay, CL; Monroy, MF; Miranda, SL; Méndez, D; Valencia, MO; Selvaraj, MG. Comparative
Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops. Plants 2021, 10,
1791. https://doi.org/10.3390/plants10091791

Nanosensores
2021

Jaramillo-Botero A: Marmolejo-Tejada JM. 2021. Four-terminal graphene nanoribbon sensor devices: In-silico
design and characterization. Computational Materials Science. https://www.sciencedirect.com/science/article/pii/S0927025621002317?via%3Dihub

Nanosensores
2021

Colorado J; Mondragón I; Marin W. AI-driven maturity stage identification of Amazonian fruits. IEEE Latin America
Transactions 19(8). https://latamt.ieeer9.org/index.php/transactions/article/view/4577

Fenómica
2021

Jimenez-Sierra, D.A.; Correa, E.S.; Benítez-Restrepo, H.D.; Calderon, F.C.; Mondragon, I.F.; Colorado, J.D. (A1)
Novel Feature-Extraction Methods for the Estimation of Above-Ground Biomass in Rice Crops. Sensors 2021,
21, 4369. https://doi.org/10.3390/s21134369 

Fenómica
2021

Gallo-Franco, JH; Ghneim-Herrera, T; Tobar-Tosse, F; Romero, MA; Chaura, J; Quimbaya, MA. Whole-genome
DNA methylation patterns of contrasting genotypes to aluminum stress in Oryza Saviva (L.) and Oryza
glumaepatula 
(Steud)

Genómica
2021

Matignon L; Marietou M; Vicentini M; Valencia D; Palmeira M; Muriel S; Passe N; Vega A; Domenech A; Benfodda Z; Meffre P; Cebrián G. .CHEMOECOLOGICAL STUDY OF TROPHIC INTERACTION BETWEEN Pseudosphinx tetrio L. LARVAE AND Allamanda cathartica L.

Nanosensores
2021

Garcia M; Mendez D; Colorado J. 2021. 3D plant morphological modeling using low-density LiDARdata fusion with
multispectral imagery. Plants, special Issue Remote Sensing Applications for Field-Based Plant Phenomics

Fenómica
2021

Gutierrez E; Mendez D; Mondragon J; Colorado J. 2021. Increasing the spatial resolution for monitoring potato
crops using a Kriging-driven WSN. Plants, special Issue Remote Sensing Applications for Field-Based Plant
Phenomics.

Fenómica
2021

Gutierrez E; Mendez D; Mondragon I; Colorado J. 2021. Water stress remote sensing in Solanum Phureja crops
using aWSN approach. IEEE Latin America Transactions 

Fenómica
2021

Analyses of the proteome composition in plant

2021

Conservation of functional networks related whit fundamental processes in plants and humans

2021

Genómica comparativa entre Arabidiopsis y arroz en relación a rendimiento

Genómica
2021

Molecular level sucrose quantification: a review. Lara G; Jaramillo A.

Nanosensores
2020

Jimenez DA; Benitiez HD; Vargas HD; Chanussot J. (A1) Graph-based data fusion applied to: change detection and
biomass estimation in rice crops
. Remote Sensing. DOI 10.3390/rs12172683

Fenómica
2020

Colorado, JD; Calderón, F; Méndez, D; Petro, E; Rojas, JP; Correa, ES; Mondragón, IF; Rebolledo, MC;
Jaramillo-Botero. 2020. A1. A novel NIR-image segmentation method for the precise estimation of above-ground
biomass in rice crops. PLoS ONE 15(10): e0239591. https://doi.org/10.1371/journal.pone.0239591

Fenómica
2020

Colorado, JD; Cera-Bornacelli, N; Caldas, JS; Petro, E; Rebolledo, MC; Cuellar, D; Calderon, F; Mondragon IF; 
Jaramillo-Botero A. Estimation of Nitrogen in Rice Crops From UAV-Captured Images. Remote Sensing 12(20):
3396. https://doi.org/10.3390/rs12203396

Fenómica
2020

Durán F; Meseguerb J; Rocha C.Ground confluence of order-sorted conditional specifications modulo axioms (A1) https://www.sciencedirect.com/science/article/pii/S2352220819301580?via%3Dihub

In-silico
2020

Quimbaya M; Gallo J; Sosa C; Ghneim, T 2020. Epigenetic control of plant response to heavy metal stress:
A new window to explain aluminum tolerance. Frontiers in Plant Science. DOI 10.3389/fpls.2020.602625

 

Genómica
2020

Gordillo-Delgado F, Zuluaga-Acosta J, Restrepo-Guerrero G. 2020. (A1) Effect of the suspension of Ag-incorporated
TiO2 nanoparticles (Ag-TiO2 NPs) on certain growth, physiology and phytotoxicity parameters in spinach
seedlings. PLoS ONE 15(12): e0244511. https://doi.org/10.1371/journal.pone.0244511  

Fenómica
2019

Jaramillo-Botero A; Marmolejo-Tejada JM. All-Armchair Graphene Nanoriboon Field Uriding Phosphate Glucose
Sensor: First-Principles In-Silico Design and Characterization
. En IEEE Sensors, DOI 10.1109/JSEN.2019.2896448

Nanosensores
2019

Devia CA; Rojas JP; Petro E; Martinez C; Mondragon IF; Patino D; Rebolledo MC; Colorado J. (A1) High-Throughput
Biomass Estimation in Rice Crops Using UAV Multispectral Imagery
. Journal of Intelligent & Robotic Systems, 
DOI 10.1007/s10846-019-01001-5

Fenómica
2019

J. M. Marmolejo-Tejada and A. Jaramillo-Botero. Partially-oxidized phosphorene sensor for the detection of
sub-nano Molar concentrations of nitric oxide: A first-principles study
. Physical Chemistry Chemical Physics. 
DOI 10.1039/C9CP03912K

Nanosensores
2019

J. M. Marmolejo-Tejada and A. Jaramillo-Botero. Effect of surface oxidation on the electronic transport
properties of phosphorene gas sensors: a computational study. The Royal Society of Chemistry,
DOI: 10.1039/d0ra00416b

Nanosensores
2016

Celis A; Nair M; Ibrahimi A; Conrad E; Berger C; de Heer W; Tejeda A. Graphene nanoribbons: fabrication, properties anddevices https://hal.archives-ouvertes.fr/hal-01403647

Nanosensores