C. Gée

发表

Crop/weed discrimination in perspective agronomic images

F. Truchetet, C. Gée, J. Bossu, 2008 .

Feasibility of a real-time weed detection system using spectral reflectance.

J. V. Stafford, Frederic Truchetet, Christelle Gée, 2005 .

Proxi-detection to monitor the growth status of wheat in the presence of weeds using low-cost and simple digital tools to track the emergence of stress

C. Gée, L. Dujourdy, E. Denimal, 2022, Precision Agriculture.

‘On-the-go’ multispectral imaging system to characterize the development of vineyard foliage

C. Gée, Gawain Jones, S. Villette, 2015 .

Evaluation of weed impact on wheat biomass by combining visible imagery with a plant growth model: towards new non-destructive indicators for weed competition

C. Gée, E. Denimal, A. Larmure, 2021, Precision Agriculture.

Tracking Ideal Varieties and Cropping Techniques for Agroecological Weed Management: A Simulation-Based Study on Pea

C. Gée, J. Villerd, N. Colbach, 2022, Frontiers in Plant Science.

DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images

Jehan-Antoine Vayssade, Jean-Noël Paoli, Christelle Gée, 2021, Remote. Sens..

Two-step Multi-spectral Registration Via Key-point Detector and Gradient Similarity: Application to Agronomic Scenes for Proxy-sensing

Jehan-Antoine Vayssade, Gawain Jones, Jean-Noël Paoli, 2020, VISIGRAPP.

Wavelet transform to discriminate between crop and weed in perspective agronomic images

Frederic Truchetet, Gawain Jones, Ch. Gée, 2009 .

Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance

F. Truchetet, G. Jones, Ch. Gée, 2009, Precision Agriculture.

Development of a machine vision system for a real time precision sprayer

Frederic Truchetet, Christelle Gée, J. Bossu, 2008 .

Development of a machine vision system for a real-time precision sprayer

Frederic Truchetet, Christelle Gée, J. Bossu, 2007, International Conference on Quality Control by Artificial Vision.

Original paper: Assessment of an inter-row weed infestation rate on simulated agronomic images

Frederic Truchetet, Gawain Jones, F. Truchetet, 2009 .

Simulation of perspective agronomic images for weed detection.

J. V. Stafford, Frederic Truchetet, Gawain Jones, 2007 .

Crop/weed discrimination in simulated images

Frédéric Truchetet, Gawain Jones, Christelle Gée, 2007, Electronic Imaging.

Weed detection by UAV: simulation of the impact of spectral mixing in multispectral images

J. N. Paoli, N. Vigneau, C. Gée, 2017, Precision Agriculture.

Validation of a virtual agronomic image modelling

Frédéric Truchetet, Sylvain Villette, Gawain Jones, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

A crop field modeling to simulate agronomic images

G Jones, C Gee, S Villette, 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

Field radiometric calibration of a multispectral on-the-go sensor dedicated to the characterization of vineyard foliage

Sylvain Villette, Gawain Jones, Jean-Noël Paoli, 2016, Comput. Electron. Agric..

Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information

Sylvain Villette, Gawain Jones, Jean-Noël Paoli, 2018, Remote. Sens..

Evaluation of weed impact on wheat biomass by combining visible imagery with a plant growth model: towards new non-destructive indicators for weed competition

C. Gée, E. Denimal, A. Larmure, 2021 .

RGB Image-Derived Indicators for Spatial Assessment of the Impact of Broadleaf Weeds on Wheat Biomass

Christelle Gée, Emmanuel Denimal, C. Gée, 2020, Remote. Sens..

How mass flow and rotational speed affect fertiliser centrifugal spreading: Potential interpretation in terms of the amount of fertiliser per vane

Denis Miclet, Emmanuel Piron, Sylvain Villette, 2012 .

Pixelwise instance segmentation of leaves in dense foliage

C. Gée, J. Paoli, Jehan-Antoine Vayssade, 2022, Comput. Electron. Agric..

Estimation of two-dimensional fertiliser mass flow distributions by recording granule impacts

Denis Miclet, Emmanuel Piron, Sylvain Villette, 2013 .

Combining spatial and spectral information to improve crop/weed discrimination algorithms

Sylvain Villette, Gawain Jones, Christelle Gée, 2012, Other Conferences.

Original paper: Assessment of an inter-row weed infestation rate on simulated agronomic images

F. Truchetet, C. Gée, Gawain Jones, 2009 .

Electronic Imaging & Signal Processing Detecting crops and weeds in precision agriculture

Frédéric Truchetet, Jérémie Bossu, Christelle Gee, 2009 .

Detecting crops and weeds in precision agriculture

Christelle Gée, C. Gée, 2008 .

26. High throughput field phenotyping (HTFP) of wheat and weed cover in field experiments using RGB images: assessment of crop-weed competition with a simple ecophysiological model

C. Gée, L. Dujourdy, E. Denimal, 2021, Precision agriculture ’21.

Assessment of Nitrogen Nutrition Index of Winter Wheat Canopy from Visible Images for a Dynamic Monitoring of N Requirements

C. Gée, L. Dujourdy, A. Voisin, 2023, Remote. Sens..

Validation of a crop field modeling to simulate agronomic images.

F. Truchetet, C. Gée, Gawain Jones, 2010, Optics express.

Preliminary study for weed biomass prediction combining visible images with a plant-growth model

C. Gée, A. Larmure, J. Merienne, 2019, Precision agriculture ’19.