Simulation of olive grove gross primary production by the combination of ground and multi-sensor satellite data. - Lorenzo Brilli; Marta Chiesi; Fabio Maselli; Marco Moriondo; Beniamino Gioli; Piero Toscano; Alessandro Zaldei; Marco Bindi (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Crop modelling for integrated assessment of risk to food production from climate change. - Frank Ewert; Reimund P. Rötter; Marco Bindi; Heidi Webber; Marián Trnka; Kurt Christian Kersebaum; Jørgen Eivind Olesen; Martin K. van Ittersum; Sander Janssen; M. Rivington; Mikhail A. Semenov; Daniel Wallach 001; et al. (Environ. Model. Softw., 2015)

Analysis and classification of data sets for calibration and validation of agro-ecosystem models. - Kurt Christian Kersebaum; Kenneth J. Boote; J. S. Jorgenson; Claas Nendel; Marco Bindi; C. Frühauf; Thomas Gaiser; Gerrit Hoogenboom; C. Kollas; Jørgen Eivind Olesen; Reimund P. Rötter; Françoise Ruget; et al. (Environ. Model. Softw., 2015)

Modelling olive trees and grapevines in a changing climate. - Marco Moriondo; Roberto Ferrise; Giacomo Trombi; Lorenzo Brilli; Camilla Dibari; Marco Bindi (Environ. Model. Softw., 2015)

Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. - Gang Zhao; Holger Hoffmann; Jagadeesh B. Yeluripati; Xenia Specka; Claas Nendel; Elsa Coucheney; Matthias Kuhnert; Fulu Tao; Julie Constantin; Hélène Raynal; Edmar I. Teixeira; Balázs Grosz; et al. (Environ. Model. Softw., 2016)

The implication of input data aggregation on up-scaling soil organic carbon changes. - Balázs Grosz; Rene Dechow; Sören Gebbert; Holger Hoffmann; Gang Zhao; Julie Constantin; Hélène Raynal; Daniel Wallach 001; Elsa Coucheney; Elisabet Lewan; Henrik Eckersten; Xenia Specka; et al. (Environ. Model. Softw., 2017)

Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter. - Igor N. Aizenberg; Marco Bindi; Francesco Grasso; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli (RTSI, 2019)

Performances Evaluation of a Low-Cost Platform for High-Resolution Plant Phenotyping. - Riccardo Rossi; Claudio Leolini; Sergi Costafreda-Aumedes; Luisa Leolini; Marco Bindi; Alessandro Zaldei; Marco Moriondo (Sensors, 2020)

Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks. - Marco Bindi; Carlos Iturrino Garcia; Antonio Luchetta; Francesco Grasso; Maria Cristina Piccirilli; Libero Paolucci; Igor N. Aizenberg (IJCNN, 2022)

Applications of Machine Learning Techniques for the Monitoring of Electrical Transmission and Distribution lines. - Marco Bindi; Antonio Luchetta; Libero Paolucci; Francesco Grasso; Stefano Manetti; Maria Cristina Piccirilli (SMACD, 2022)

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications. - Marco Bindi; Fabio Corti; Igor N. Aizenberg; Francesco Grasso; Gabriele Maria Lozito; Antonio Luchetta; Maria Cristina Piccirilli; Alberto Reatti (Algorithms, 2022)

Implementation of an algorithm for automated phenotyping through plant 3D-modeling: A practical application on the early detection of water stress. - Riccardo Rossi; Sergi Costafreda-Aumedes; Luisa Leolini; Claudio Leolini; Marco Bindi; Marco Moriondo (Comput. Electron. Agric., 2022)

A Novel Hyperspectral Method to Detect Moldy Core in Apple Fruits. - Andrea Genangeli; Giorgio Allasia; Marco Bindi; Claudio Cantini; Alice Cavaliere; Lorenzo Genesio; Giovanni Giannotta; Franco Miglietta; Beniamino Gioli (Sensors, 2022)

Power Quality Disturbance. - Carlos Iturrino; Marco Bindi; Fabio Corti (IEEE DataPort, 2022)

Autoencoders for Hourly Load Profile Reconstruction in Renewable Energy Communities. - Matteo Intravaia; Lorenzo Becchi; Marco Bindi; Libero Paolucci; Francesco Grasso (EUROCON, 2023)

Prognostic Analysis of Switching Devices in DC-DC Converters. - Matteo Intravaia; Marco Bindi; Lorenzo Becchi; Antonio Luchetta; Gabriele Maria Lozito; Libero Paolucci; Francesco Grasso; Carlos Iturrino Garcia (MetroXRAINE, 2023)

Predictive Maintenance of Actuated Quarter-Turn Valves Using Artificial Intelligence. - Matteo Intravaia; Marco Bindi; Nicola Lucchesi; Gianluca Losi; Carlos Iturrino Garcia; Libero Paolucci; Francesco Grasso; Simone Gabbrielli (MetroXRAINE, 2023)

Failure Prevention in DC-DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter. - Marco Bindi; Fabio Corti; Francesco Grasso; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli; Alberto Reatti (IEEE Trans. Ind. Electron., 2023)

A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera. - Andrea Genangeli; Giovanni Avola; Marco Bindi; Claudio Cantini; Francesco Cellini; Ezio Riggi; Beniamino Gioli (Sensors, 2023)

Sensitivity analysis of PV produced power in presence of measurement uncertainty. - Matteo Intravaia; Lorenzo Becchi; Marco Bindi; Luigi Costanzo; Cristian C. Garzon-Alfonso; Vipinkumar Shriram Meshram; Alberto Reatti; Massimo Vitelli (MetroInd4.0 & IoT, 2024)

An Unsupervised Learning Method for Noise Detection in Photoacoustic Gas Measurements. - Ada Fort; Matteo Intravaia; Marco Mugnaini; Marco Bindi; Enza Panzardi; Valerio Vignoli (MetroXRAINE, 2024)

A Neural Network Based Control Strategy for Constant Current Battery Chargers with PV Source. - Lorenzo Becchi; Marco Bindi; Cristian Camilo Garzon-Alfonso; Matteo Intravaia; Gabriele Maria Lozito; Francesco Grasso (RTSI, 2024)

Foreign Object Detection for Wireless Power Transfer Systems Using MLMVN. - Marco Bindi; Vipinkumar Shriram Meshram; Antonio Luchetta; Lorenzo Becchi; Matteo Intravaia; Alicia Triviño; Eliseo Villagrasa (RTSI, 2024)

Assessing olive tree (Olea europaea L.) responses to water shortage through radio frequency sensors. - Valeria Lazzoni; Claudia Cocozza; Danilo Brizi; Marco Moriondo; Cristiana Giordano; Giovanni Argenti; Angelica Masi; Nicolina Staglianò; Marco Bindi; Alberto Maltoni; Monica Anichini; Camilla Dibari; et al. (Comput. Electron. Agric., 2025)