Flavio Prieto

Universidad Nacional de Colombia — Colombia

Earth and Planetary Sciences · Physical Sciences

24h-index2.3kcitations245works1.22yr avg
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Research Topics

3D Surveying and Cultural Heritage(36), Industrial Vision Systems and Defect Detection(27), Robotics and Sensor-Based Localization(19), Spectroscopy and Chemometric Analyses(18), Advanced Vision and Imaging(17)

Publications245 total

Vibe Learning: Education in the age of AI
arXiv (Cornell University)·2025Open Access
222 - EL IMPACTO DEL AGENTE DE SALUD COMUNITARIO EN LA ADHERENCIA AL TRATAMIENTO Y SEGUIMIENTO DE PACIENTES CON ENFERMEDAD DE CHAGAS
Gaceta Sanitaria·2025Open Access
Bridging Laboratory and Field Hyperspectral Analysis for Early Detection of Potato Late Blight Using Machine Learning
SSRN Electronic Journal·2025Open Access
Modelling global fossil CO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si221.svg" display="inline" id="d1e2832"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> emissions with a lognormal distribution
Socio-Economic Planning Sciences·2024· 1 citedOpen Access
A Portable Tool for Spectral Analysis of Plant Leaves That Incorporates a Multichannel Detector to Enable Faster Data Capture
Instruments·2024· 5 citedOpen Access
Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning
Postharvest Biology and Technology·2023· 22 citedOpen Access
New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis
Journal of Food Measurement & Characterization·2023· 25 citedOpen Access
Identification of symptoms related to potato Verticillium wilt from UAV-based multispectral imagery using an ensemble of gradient boosting machines
Smart Agricultural Technology·2022· 40 citedOpen Access
A computer vision system for early detection of anthracnose in sugar mango (Mangifera indica) based on UV-A illumination
Information Processing in Agriculture·2022· 22 citedOpen Access
Detection of anthracnose in mango leaves by hyperspectral image analysis
2021· 3 cited
Spectral denoising in hyperspectral imaging using the discrete wavelet transform
Revista de Investigación Desarrollo e Innovación·2021Open Access
Automatic Detection and Mapping of Espeletia Plants from UAV Imagery
2021· 1 cited
Assessment of potato late blight from UAV-based multispectral imagery
Computers and Electronics in Agriculture·2021· 76 cited
A Supervoxel-Based Approach for Leaves Segmentation of Potato Plants from Point Clouds
2020· 1 cited
EMG hand gesture classification using handcrafted and deep features
Biomedical Signal Processing and Control·2020· 96 cited
Ultrasound computed tomography on standing trees: accounting for wood anisotropy permits a more accurate detection of defects
Annals of Forest Science·2020· 26 citedOpen Access
Spectral analysis for the early detection of anthracnose in fruits of Sugar Mango (Mangifera indica)
Computers and Electronics in Agriculture·2020· 53 cited
Deep Learning for fractographic classification in metallic materials
Engineering Failure Analysis·2020· 41 cited
Power Lines Detection from a Stereo Vision System
2020· 4 cited
Quantitative ultrasound imaging under anisotropic conditions: application and perspectives for wood evaluation
Agritrop (Cirad)·2020Open Access
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Frequent Co-authors

Pierre Boulanger(15), Tanneguy Redarce(6), Loïc Brancheriau(6), Philippe Lasaygues(5), Luis Espinosa(5), A. Jaramillo(5), Richard Lepage(4), Alexander Cerón(4), Iván F. Mondragón(4), P.J. Ramos(3), Carlos Hernández(3), Pablo Figueroa(3), Jose Hoyos(2), Andrés Arciniegas(2), Iván Lizarazo(2), Carlos Eduardo Cabrera Ardila(2), Augusto Salazar(2), John W. Branch(2), Víctor H. Grisales(2), Yolima Cortes(2)