Soft computing-based decision support tools for spatial data. - Serge Guillaume; Brigitte Charnomordic; Bruno Tisseyre; James Taylor 002 (Int. J. Comput. Intell. Syst., 2013)

A zone-based approach for processing and interpreting variability in multi-temporal yield data sets. - Corentin Leroux; Hazaël Jones; James Taylor 002; Anthony Clenet; Bruno Tisseyre (Comput. Electron. Agric., 2018)

Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content. - Francelino A. Rodrigues Jr.; Gerald Blasch; Pierre Defourny; J. Ivan Ortiz-Monasterio; Urs Schulthess; Pablo J. Zarco-Tejada; James A. Taylor 002; Bruno Gérard (Remote. Sens., 2018)

Towards Incorporating Within-Field Variation into Spatial Agronomic Decision Processes. - James Taylor 002 (2019)

Combining Spatial Data Layers using Fuzzy Inference Systems: Application to an Agronomic Case Study. - Serge Guillaume; Terry Bates; Jean-Luc Lablée; Thom Betts; James Taylor 002 (GISTAM, 2020)

A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. - Wenjing Li; Beth Clark; James A. Taylor 002; Helen Kendall; Glyn Jones; Zhenhong Li 001; Shan Jin; Chunjiang Zhao 001; Guijun Yang; Chuanmin Shuai; Xin Cheng 026; Jing Chen; et al. (Comput. Electron. Agric., 2020)

Predicting the site-specific distribution of agrochemical spray deposition in vineyards at multiple phenological stages using 2D LiDAR-based primary canopy attributes. - A. Cheraiet; Olivier Naud; M. Carra; S. Codis; Frédéric Lebeau; James Taylor 002 (Comput. Electron. Agric., 2021)

Potential of Multiway PLS (N-PLS) Regression Method to Analyse Time-Series of Multispectral Images: A Case Study in Agriculture. - Eva Lopez-Fornieles; Guilhem Brunel; Florian Rançon; Belal Gaci; Maxime Metz; Nicolas Devaux; James Taylor 002; Bruno Tisseyre; Jean-Michel Roger (Remote. Sens., 2022)