247 citations · 631 across the 20 of their papers we have counts for
21 papers
From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction
Filip Sabo, Michele Meroni, Maria Piles +5
We present an application of a foundation model for small- to medium-sized tabular data (TabPFN), to sub-national yield forecasting task in South Africa. TabPFN has recently demons…
Causal machine learning for sustainable agroecosystems
Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà Bautista +8
In a changing climate, sustainable agriculture is essential for food security and environmental health. However, it is challenging to understand the complex interactions among its…
Let's consider more general nonlinear approaches to study teleconnections of climate variables
D. Bueso, M. Piles, G. Camps-Valls
The recent work by (Rieger et al 2021) is concerned with the problem of extracting features from spatio-temporal geophysical signals. The authors introduce the complex rotated MCA…
Persistence in Complex Systems
S. Salcedo-Sanz, D. Casillas-Pérez, J. Del Ser +4
Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The stud…
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí +3
The modelling of Earth observation data is a challenging problem, typically approached by either purely mechanistic or purely data-driven methods. Mechanistic models encode the dom…
A global Canopy Water Content product from AVHRR/Metop
Francisco Javier García-Haro, Manuel Campos-Taberner, Álvaro Moreno +8
Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climat…