| On-farm experimentation to transform global agriculture M Lacoste, S Cook, M McNee, D Gale, J Ingram, V Bellon-Maurel, ... Nature Food 3 (1), 11-18, 2022 | 123 | 2022 |
| Using NDVI to differentiate wheat genotypes productivity under dryland and irrigated conditions MA Naser, R Khosla, L Longchamps, S Dahal Remote Sensing 12 (5), 824, 2020 | 80 | 2020 |
| Discrimination of corn, grasses and dicot weeds by their UV-induced fluorescence spectral signature L Longchamps, B Panneton, G Samson, GD Leroux, R Thériault Precision Agriculture 11, 181-197, 2010 | 58 | 2010 |
| Early detection of nitrogen variability in maize using fluorescence L Longchamps, R Khosla Agronomy Journal 106 (2), 511-518, 2014 | 44 | 2014 |
| Precision manure management across site‐specific management zones: Grain yield and economic analysis ME Moshia, R Khosla, L Longchamps, R Reich, JG Davis, DG Westfall Agronomy Journal 106 (6), 2146-2156, 2014 | 38 | 2014 |
| Spatial and temporal variability of soil water content in leveled fields L Longchamps, R Khosla, R Reich, DW Gui Soil Science Society of America Journal 79 (5), 1446-1454, 2015 | 34 | 2015 |
| Could weed sensing in corn interrows result in efficient weed control? L Longchamps, B Panneton, MJ Simard, GD Leroux Weed Technology 26 (4), 649-656, 2012 | 32 | 2012 |
| Spatial management strategies for nitrogen in maize production based on soil and crop data E Cordero, L Longchamps, R Khosla, D Sacco Science of The Total Environment 697, 133854, 2019 | 29 | 2019 |
| Soil water content and high-resolution imagery for precision irrigation: Maize yield A de Lara, L Longchamps, R Khosla Agronomy 9 (4), 174, 2019 | 26 | 2019 |
| Validation of a management program based on a weed cover threshold model: effects on herbicide use and weed populations MJ Simard, B Panneton, L Longchamps, C Lemieux, A Légère, ... Weed Science 57 (2), 187-193, 2009 | 24 | 2009 |
| Yield sensing technologies for perennial and annual horticultural crops: A review L Longchamps, B Tisseyre, J Taylor, L Sagoo, A Momin, S Fountas, ... Precision Agriculture 23 (6), 2407-2448, 2022 | 23 | 2022 |
| Characterizing spatial variability in soil water content for precision irrigation management A De Lara, R Khosla, L Longchamps Agronomy 8 (5), 59, 2018 | 22 | 2018 |
| Multispectral satellite imagery to quantify in-field soil moisture variability J Siegfried, L Longchamps, R Khosla Journal of Soil and Water Conservation 74 (1), 33-40, 2019 | 19 | 2019 |
| Improving N use efficiency by integrating soil and crop properties for variable rate N management L Longchamps, R Khosla Precision agriculture'15, 249-256, 2015 | 18 | 2015 |
| Use of fluorescence sensing to detect nitrogen and potassium variability in maize R Siqueira, L Longchamps, S Dahal, R Khosla Remote Sensing 12 (11), 1752, 2020 | 17 | 2020 |
| Pest detection on UAV imagery using a deep convolutional neural network Y Bouroubi, P Bugnet, T Nguyen-Xuan, C Gosselin, C Bélec, ... 14th International Conference on Precision Agriculture, 1-11, 2018 | 17 | 2018 |
| An imagery-based weed cover threshold established using expert knowledge L Longchamps, B Panneton, MJ Simard, GD Leroux Weed science 62 (1), 177-185, 2014 | 16 | 2014 |
| Variable rate nitrogen and water management for irrigated maize in the Western US S Dahal, E Phillippi, L Longchamps, R Khosla, A Andales Agronomy 10 (10), 1533, 2020 | 14 | 2020 |
| Characterizing variation in nitrogen use efficiency in wheat genotypes using proximal canopy sensing for sustainable wheat production MA Naser, R Khosla, L Longchamps, S Dahal Agronomy 10 (6), 773, 2020 | 14 | 2020 |
| Effects of preprocessing of ultraviolet-induced fluorescence spectra in plant fingerprinting applications B Panneton, JM Roger, S Guillaume, L Longchamps Applied spectroscopy 62 (7), 747-752, 2008 | 10 | 2008 |
