Research

Papers

Multivariate integration of time series with ML for corn price forecasting in Colombia.
A. Ojeda-Beltran, M.E. Suaza-Medina, F.J. Zarazaga-Soria, E. De-La-Hoz-Franco, J. Escorcia-Gutierrez.
Expert Systems with Applications, vol. 299, Part A, 129822, 2026.

A platform to support the fast development of digital twins for agricultural holdings.
J. Laguna, M.E. Suaza-Medina, R. Béjar, J. Lacasta, F.J. Zarazaga-Soria.
Computers in Industry, vol. 172, 104347, 2025.
GitHub · DOI
Detection of changes in the heat emissions signature of buildings related to indoor activity using publicly available satellite data.
M.E. Suaza-Medina, J. Lacasta, F.J. Lopez-Pellicer, R. Béjar, F.J. Zarazaga-Soria.
Earth Science Informatics, vol. 18, article 420, 2025.

Predicción de tendencias en la lonja del bovino con aprendizaje automático.
V. Jarreta, J. Laguna, M.E. Suaza-Medina, F.J. Zarazaga-Soria, J. Lacasta.
JISBD 2025, Córdoba, Spain, 9–11 September 2025.

A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations.
M.E. Suaza-Medina, R. Peñabaena-Niebles, M. Jubiz-Diaz.
Scientific Reports, vol. 14, 25306, 2024.
Evaluating the efficiency of NDVI and climatic data in maize harvest prediction using machine learning.
M.E. Suaza-Medina, J. Laguna, R. Béjar, F.J. Zarazaga-Soria, J. Lacasta.
International Journal of Digital Earth, vol. 17(1), 2359565, 2024.

Artificial Intelligence and satellite imagery to reformulate high-resolution computational models with application to soil loss.
M.E. Suaza-Medina, J. Segovia-Burillo, J. Lacasta, S. Martínez-Aranda, F.J. Zarazaga-Soria, P. García-Navarro.
MedGU Annual Meeting 2024, Barcelona, Spain, 25–28 November 2024.

Effects of data time lag in a decision-making system using machine learning for pork price prediction.
M.E. Suaza-Medina, F.J. Zarazaga-Soria, J. Pinilla-López, F.J. Lopez-Pellicer, J. Lacasta.
Neural Computing and Applications, 35, 19221–19233, 2023.