Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments. - Davide Cammarano; Glenn J. Fitzgerald; Raffaele Casa; Bruno Basso (Remote. Sens., 2014)

Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium. - Benjamin Dumont; Bruno Basso; Bernard Bodson; Jean-Pierre Destain; Marie-France Destain (Environ. Model. Softw., 2016)

Multi-wheat-model ensemble responses to interannual climate variability. - Alex C. Ruane; Nicholas I. Hudson; Senthold Asseng; Davide Camarrano; Frank Ewert; Pierre Martre; Kenneth J. Boote; Peter J. Thorburn; Pramod K. Aggarwal; Carlos Angulo; Bruno Basso; Patrick Bertuzzi; et al. (Environ. Model. Softw., 2016)

Evaluating the impact of soil conservation measures on soil organic carbon at the farm scale. - Andrea Pezzuolo; Benjamin Dumont; Luigi Sartori; Francesco Marinello; Massimiliano De Antoni Migliorati; Bruno Basso (Comput. Electron. Agric., 2017)

Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems. - Laura Dingle Robertson; Milena Planells; Silvia Valero; Nima Ahmadian; Alisa Coffin; David D. Bosch; Michael H. Cosh; Paul Siqueira; Bruno Basso; Nicanor Saliendra; Andrew A. Davidson; Heather McNairn; et al. (IGARSS, 2019)

Multi-temporal RADARSAT-2 polarimetric SAR for maize mapping supported by segmentations from high-resolution optical image. - Guanyuan Shuai; Jinshui Zhang; Bruno Basso; Yaozhong Pan; Xiufang Zhu; Shuang Zhu; Hongli Liu 003 (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data. - Tianfang Xu; Jillian M. Deines; Anthony D. Kendall; Bruno Basso; David W. Hyndman (Remote. Sens., 2019)

Capturing Maize Stand Heterogeneity Across Yield-Stability Zones Using Unmanned Aerial Vehicles (UAV). - Guanyuan Shuai; Rafael A. Martinez-Feria; Jinshui Zhang; Shiming Li; Richard Price; Bruno Basso (Sensors, 2019)

Remote Sensing: Advancing the Science and the Applications to Transform Agriculture. - Jerry L. Hatfield; Michelle Cryder; Bruno Basso (IT Prof., 2020)

Harnessing AI to Transform Agriculture and Inform Agricultural Research. - Debra P. C. Peters; Adam R. Rivers; Jerry L. Hatfield; Danielle G. Lemay; Simon Liu; Bruno Basso (IT Prof., 2020)

Modeling spatial and temporal optimal N fertilizer rates to reduce nitrate leaching while improving grain yield and quality in malting barley. - Davide Cammarano; Bruno Basso; Jonathan Holland; Alberto Gianinetti; Marina Baronchelli; Domenico Ronga (Comput. Electron. Agric., 2021)

Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery. - Daniele De Rosa; Bruno Basso; Matteo Fasiolo; Johannes Friedl; Bill Fulkerson; Peter R. Grace; David W. Rowlings (Comput. Electron. Agric., 2021)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)

Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty. - Eric G. O'Neill; Rafael A. Martinez-Feria; Bruno Basso; Christos T. Maravelias (Comput. Chem. Eng., 2022)

Residual correlation and ensemble modelling to improve crop and grassland models. - Renata Sándor; Fiona Ehrhardt; Peter Grace; Sylvie Recous; Pete Smith; Val Snow; Jean-François Soussana; Bruno Basso; Arti Bhatia; Lorenzo Brilli; Jordi Doltra; Christopher D. Dorich; et al. (Environ. Model. Softw., 2023)