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emmanuel denimal

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

Christelle Gée , Emmanuel Denimal , De Yparraguirre, , Laurence Dujourdy , Anne-Sophie Voisin
Remote Sensing, 2023, 15 (10), pp.art. 2510. ⟨10.3390/rs15102510⟩
Article dans une revue hal-04095363v1

Mesocosm evaluation of the competittive ability of common and segetal weed species against barley

Veron Zarate , Bruno Chauvel , Emmanuel Denimal , Christelle Gée
Revista de Investigaciones de Ciensias Agronomicas, 2022, 40 (Suplemento Seminario científico franco-argentino sobre agroecología 22-23 novembre, Rosario, Argentine), pp.81-82
Article dans une revue hal-04115266v1

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

Christelle Gée , Laurence Dujourdy , Victor Mignon , Emmanuel Denimal
Precision Agriculture, 2022, 23 (2115-2134), ⟨10.1007/s11119-022-09963-7⟩
Article dans une revue hal-03821889v1

Potential of visible (RGB) imagery for dynamic monitoring of nitrogen requirements in winter wheat using the innovative APPI-N method

Christelle Gée , M Yparraguire , Emmanuel Denimal , Anne-Sophie Voisin
Revista de Investigaciones de Ciensias Agronomicas, 2022, 40 (Suplemento Seminario científico franco-argentino sobre agroecología 22-23 novembre, Rosario, Argentine), pp.66-68
Article dans une revue hal-04107243v1

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

Christelle Gée , Emmanuel Denimal , Josselyn Merienne , Annabelle Larmure
Precision Agriculture, 2021, 22, pp.550-568. ⟨10.1007/s11119-020-09776-6⟩
Article dans une revue hal-03103918v1

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

Christelle Gée , Emmanuel Denimal
Remote Sensing, 2020, 12 (18), pp.2982. ⟨10.3390/rs12182982⟩
Article dans une revue hal-02958624v1

Chapter 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

Christelle Gée , Victor Mignon , Laurence Dujourdy , Emmanuel Denimal
WeedElec: a robotic research platform for individual weed detection and selective electrical weedingWeedElec: a robotic research platform for individual weed detection and selective electrical weeding. In : Precision agriculture ’21 : Papers presented at the 13th European Conference on precision agriculture, Budapest, Hungary, 18-22 July 2021, John V. Stafford, pp.225 - 232, 2021, Proceedings "13th European Conference on Precision Agriculture ECPA2021". Budapest, Hongrie, 19-22 Juillet 2021, 978-90-8686-363-1. ⟨10.3920/978-90-8686-916-9_26⟩
Chapitre d'ouvrage hal-03275337v1