0000000000406476

AUTHOR

Louis Assemat

Compétition et nuisibilité des mauvaises herbes

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Predicting weed seed production from spatialized data : a case study using Setaria viridis and Solanum nigrum in maize (Zea mays L.)

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AFPP - 22nd COLUMA Conference - International Meeting on Weed Control

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Weed and corn recognition using 2D and 3D data fusion

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Analyse de la mise en place du système foliaire et des organes reproducteurs du maïs en fonction de la contrainte hydrique

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Caractérisation par stéréovision de l'hétérogénéité d'un peuplement adventice dans une culture

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Weed biomass production response to plant spacing and corn (Zea mays) hybrids differing in canopy architecture

International audience

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A method for recognizing vegetal species from multispectral images

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Dynamique et régulation de la mise en place de structures aériennes de plantes en situations de concurrence

*INRA Unité Agropédoclimatique, Domaine Duclos 97170 Petit-Bourg Diffusion du document : INRA Unité Agropédoclimatique, Domaine Duclos 97170 Petit-Bourg; National audience

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Spatial and spectral methods for weed detection and localization

International audience

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Decoupling of light intensity effects on the growth and development of C3 and C4 weed species through sucrose supplementation

Light availability has a profound effect on plant growth and development. One of the ways to study the effects of light intensity on plant growth and development without the confounding problem of photosynthate availability is sucrose injection/supplementation. A greenhouse experiment was conducted to evaluate the effects of light levels (0% and 75% shade) and sucrose injection (distilled water or 150 g sucrose l(-1)) on three weed species: redroot pigweed (Amaranthus retroflexus L., C4), lambsquarters (Chenopodium album L., C3) and velvetleaf (Abutilon theophrasti Medic., C3). The average total sucrose uptake was 7.6 and 5.9 g per plant for 0% and 75% shading, respectively, representing 47…

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A two dimensional method for recognising weeds from multiband image processing

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Development of a combined spatial and spectral method for weed detection and localisation

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A method for 3D reconstruction of vegetation by stereovision

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