Fluorescence, PRI and canopy temperature for water stress detection in cereal crops. - Cinzia Panigada; Micol Rossini; Michele Meroni; Chiara Cilia; Lorenzo Busetto; Stefano Amaducci; Mirco Boschetti; Sergio Cogliati; Valentina Picchi; Francisco Pinto; Andrea Marchesi; Roberto Colombo (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery. - Chiara Cilia; Cinzia Panigada; Micol Rossini; Michele Meroni; Lorenzo Busetto; Stefano Amaducci; Mirco Boschetti; Valentina Picchi; Roberto Colombo (Remote. Sens., 2014)

Empirical Estimation of Leaf Chlorophyll Density in Winter Wheat Canopies Using Sentinel-2 Spectral Resolution. - Massimo Vincini; Stefano Amaducci; Ermes Frazzi (IEEE Trans. Geosci. Remote. Sens., 2014)

Corrections to "Empirical Estimation of Leaf Chlorophyll Density in Winter Wheat Canopies Using Sentinel-2 Spectral Resolution". - Massimo Vincini; Stefano Amaducci; Ermes Frazzi (IEEE Trans. Geosci. Remote. Sens., 2014)

Discriminating Irrigated and Rainfed Maize with Diurnal Fluorescence and Canopy Temperature Airborne Maps. - Micol Rossini; Cinzia Panigada; Chiara Cilia; Michele Meroni; Lorenzo Busetto; Sergio Cogliati; Stefano Amaducci; Roberto Colombo (ISPRS Int. J. Geo Inf., 2015)

Optimization of vertically mounted agrivoltaic systems. - Pietro Elia Campana; Bengt Stridh; Stefano Amaducci; Michele Colauzzi (CoRR, 2021)

Impact of Training Set Size and Lead Time on Early Tomato Crop Mapping Accuracy. - Michele Croci; Giorgio Impollonia; Henri Blandinières; Michele Colauzzi; Stefano Amaducci (Remote. Sens., 2022)

Comparison of PROSAIL Model Inversion Methods for Estimating Leaf Chlorophyll Content and LAI Using UAV Imagery for Hemp Phenotyping. - Giorgio Impollonia; Michele Croci; Henri Blandinières; Andrea Marcone; Stefano Amaducci (Remote. Sens., 2022)

UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques. - Giorgio Impollonia; Michele Croci; Andrea Ferrarini; Jason Brook; Enrico Martani; Henri Blandinières; Andrea Marcone; Danny Awty-Carroll; Chris Ashman; Jason Kam; Andreas Kiesel; Luisa M. Trindade; et al. (Remote. Sens., 2022)

Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data. - Michele Croci; Giorgio Impollonia; Michele Meroni; Stefano Amaducci (Remote. Sens., 2023)

Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation. - Giorgio Impollonia; Michele Croci; Stefano Amaducci (Comput. Electron. Agric., 2024)