spMC: Modelling Spatial Random Fields with Continuous Lag Markov Chains. - Luca Sartore (R J., 2013)

A Predictive Approach Based on Neural Network Models for Building Automation Systems. - Davide De March; Matteo Borrotti; Luca Sartore; Debora Slanzi; Lorenzo Podestà; Irene Poli (Advances in Neural Networks, 2015)

spMC: an R-package for 3D lithological reconstructions based on spatial Markov chains. - Luca Sartore; Paolo Fabbri; Carlo Gaetan (Comput. Geosci., 2016)

Developing Entropies of Predictive Cropland Data Layers for Crop Survey Imputation. - Luca Sartore; Claire G. Boryan; Patrick Willis (IGARSS, 2022)

Assessing machine leaning algorithms on crop yield forecasts using functional covariates derived from remotely sensed data. - Luca Sartore; Arthur Rosales; David M. Johnson 002; Clifford H. Spiegelman (Comput. Electron. Agric., 2022)

Utilizing Land Cover, Satellite and Agricultural Survey Data to Produce Early Season Crop Acreage Estimates. - Luca Sartore; Claire G. Boryan; Lu Chen (IGARSS, 2023)

Preseason crop type prediction using crop sequence boundaries. - Jonathon Abernethy; Peter Beeson; Claire Boryan; Kevin Hunt; Luca Sartore (Comput. Electron. Agric., 2023)

Utilizing Remote Sensing and Geospatial Data to Characterize Administrative Data Undercoverage for Crop Acreage Estimation. - Avery Nagle; Claire Boryan; Andrew Dau; Arthur Rosales; Luca Sartore; Patrick Willis (IGARSS, 2024)

Crop Prediction Uncertainty Maps. - Luca Sartore; Claire Boryan; Arthur Rosales; Avery Nagle (IGARSS, 2024)