Crop/weed discrimination in perspective agronomic images C Gée, J Bossu, G Jones, F Truchetet Computers and Electronics in Agriculture 60 (1), 49-59, 2008 | 258 | 2008 |
Wavelet transform to discriminate between crop and weed in perspective agronomic images J Bossu, C Gée, G Jones, F Truchetet computers and electronics in agriculture 65 (1), 133-143, 2009 | 133 | 2009 |
Unsupervised classification algorithm for early weed detection in row-crops by combining spatial and spectral information M Louargant, G Jones, R Faroux, JN Paoli, T Maillot, C Gée, S Villette Remote Sensing 10 (5), 761, 2018 | 127 | 2018 |
Weed detection by UAV: Simulation of the impact of spectral mixing in multispectral images M Louargant, S Villette, G Jones, N Vigneau, JN Paoli, C Gée Precision Agriculture 18 (6), 932-951, 2017 | 63 | 2017 |
Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance G Jones, C Gée, F Truchetet Precision Agriculture 10 (1), 1-15, 2009 | 60 | 2009 |
Assessment of an inter-row weed infestation rate on simulated agronomic images G Jones, C Gée, F Truchetet Computers and Electronics in Agriculture 67 (1-2), 43-50, 2009 | 45 | 2009 |
Multi-pattern spraying apparatus G Jones US Patent 3,711,030, 1973 | 41 | 1973 |
Field radiometric calibration of a multispectral on-the-go sensor dedicated to the characterization of vineyard foliage MA Bourgeon, JN Paoli, G Jones, S Villette, C Gée Computers and Electronics in Agriculture 123, 184-194, 2016 | 26 | 2016 |
«On-the-go» multispectral imaging system to characterize the development of vineyard foliage with quantitative and qualitative vegetation indices MA Bourgeon, C Gée, S Debuisson, S Villette, G Jones, JN Paoli Precision Agriculture 18, 293-308, 2017 | 19 | 2017 |
Crop/weed discrimination in simulated agronomic images G Jones, C Gée, F Truchetet Image Processing: Algorithms and Systems V 6497, 121-127, 2007 | 18 | 2007 |
Pixelwise instance segmentation of leaves in dense foliage JA Vayssade, G Jones, C Gée, JN Paoli Computers and Electronics in Agriculture 195, 106797, 2022 | 17 | 2022 |
Estimation of two-dimensional fertiliser mass flow distributions by recording granule impacts S Villette, E Piron, R Martin, D Miclet, G Jones, JN Paoli, C Gée Biosystems engineering 115 (4), 463-473, 2013 | 14 | 2013 |
How mass flow and rotational speed affect fertiliser centrifugal spreading: Potential interpretation in terms of the amount of fertiliser per vane S Villette, E Piron, D Miclet, R Martin, G Jones, JN Paoli, C Gée Biosystems engineering 111 (1), 133-138, 2012 | 12 | 2012 |
DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images JA Vayssade, JN Paoli, C Gée, G Jones Remote Sensing 13 (12), 2261, 2021 | 11 | 2021 |
Two-step multi-spectral registration via key-point detector and gradient similarity. Application to agronomic scenes for proxy-sensing JA Vayssade, G Jones, JN Paoli, C Gée Proceedings of the 15th International Joint Conference on Computer Vision …, 2020 | 8 | 2020 |
Validation of a crop field modeling to simulate agronomic images G Jones, C Gée, S Villette, F Truchetet Optics Express 18 (10), 10694-10703, 2010 | 8 | 2010 |
Detecting crops and weeds in precision agriculture C Gee, J Bossu, G Jones, F Truchetet SPIE Newsroom. doi 10 (2.1200809), 1226, 2008 | 8 | 2008 |
Simulation of agronomic images for an automatic evaluation of crop/weed discrimination algorithm accuracy G Jones, C Gée, F Truchetet Eighth International Conference on Quality Control by Artificial Vision 6356 …, 2007 | 5 | 2007 |
Combining spatial and spectral information to improve crop/weed discrimination algorithms L Yan, G Jones, S Villette, JN Paoli, C Gée Image Processing: Machine Vision Applications V 8300, 114-121, 2012 | 3 | 2012 |
Towards the characterization of crop and weeds at leaf scale: A large comparison of shape, spatial and textural features JA Vayssade, G Jones, JN Paoli Smart Agricultural Technology 5, 100245, 2023 | 2 | 2023 |