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Communication Dans Un Congrès Année : 2017

Aerial multispectral imagery for site specific weed management

Corentin Chéron
  • Fonction : Auteur
Nathalie Vigneau
  • Fonction : Auteur
Gawain Jones
Sylvain Villette
Christelle Gée

Résumé

In an agroecological context (French Law on the Future of Agriculture), the reduction of herbicide uses become a crucial issue. It requires developing new technologies allowing a better knowledge of the field. The company AIRINOV, specialized in use of Unmanned Aerial Vehicle (UAV) dedicated to precision agriculture wants to explore a new approach by UAV to localize weed infestation areas. This work aims to develop a method analyzing images acquired by UAV to detect and map weeds in a field. The study is carried out on crops widely grown in France and requiring weed control at a young state of the plant : maize, sunflower and sugar beet. With its on-board sensors (GPS, multispectral camera…), the UAV can acquire georeferenced multispectral images of a whole field with a spatial resolution of 6 cm/pixel. The multispectral camera is also used to capture images at 6 mm/pixel on small field parts to assess the effect of image resolution. . A weed detection method is specifically developed to study multispectral image acquired by UAV. This method uses a spatial analysis based on the Hough Transform to localize crop rows. Weeds are then identified as the vegetation located in the inter-row space, and infestation maps are deduced from their GPS coordinates. Afterwards, these maps are finally transformed into herbicide application maps for site-specific weed management.
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Dates et versions

hal-01606796 , version 1 (02-10-2017)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

  • HAL Id : hal-01606796 , version 1
  • PRODINRA : 407180

Citer

Marine Louargant, Corentin Chéron, Nathalie Vigneau, Gawain Jones, Sylvain Villette, et al.. Aerial multispectral imagery for site specific weed management. 1. AXEMA-EurAgEng Conference, AXEMA., Feb 2017, Villepinte, France. pp.30-36. ⟨hal-01606796⟩
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