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Gawain Jones
Gawain Jones
Professor assistant, L'Institut Agro Dijon
Adresse e-mail validée de agrosupdijon.fr - Page d'accueil
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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
2572008
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
1342009
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
1162018
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
602017
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
572009
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
462009
Multi-pattern spraying apparatus
G Jones
US Patent 3,711,030, 1973
401973
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
252016
«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
182017
Crop/weed discrimination in simulated agronomic images
G Jones, C Gée, F Truchetet
Image Processing: Algorithms and Systems V 6497, 121-127, 2007
182007
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
142013
Pixelwise instance segmentation of leaves in dense foliage
JA Vayssade, G Jones, C Gée, JN Paoli
Computers and Electronics in Agriculture 195, 106797, 2022
132022
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
122012
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
102021
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
82020
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
82010
Detecting crops and weeds in precision agriculture
C Gee, J Bossu, G Jones, F Truchetet
SPIE Newsroom. doi 10 (2.1200809), 1226, 2008
82008
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
62007
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
32012
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
22023
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