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Des technologiques innovantes pour optimiser le désherbage de précision

Abstract : The reduction of herbicide use intensity can benefit from the patchy distribution of weeds in fields by shifting from whole-field to precision spraying. Herbicides are then only applied where weeds are present. To do this, we need to detect and map weeds in fields. The resulting weed presence information is then used to direct a spraying system in order to apply herbicides only where needed. This paper first presents the weed-detection methods used in the ANR CoSAC project (aiming to design sustainable weed management strategies in a changing context) and then two precision-spraying systems: 1) an autonomous system based on a commercial solution (the WeedSeeker system by Trimble) which detects weeds and sprays the herbicide in a single passage, 2) a system based on establishing a weed-presence map which is used a posteriori to control the opening and closure of nozzles on the sprayer booms. For this second method, only the weed mapping part will be presented. Finally, the long-term sustainability and efficiency of precision spraying was evaluated with simulations with the virtual-field models which predicts multiannual weed dynamics and crop production at a daily time step from cropping-system inputs and weather data.
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Submitted on : Thursday, June 10, 2021 - 3:11:44 PM
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Thibault Maillot, Gawain Jones, Jean-Baptiste Vioix, Nathalie Colbach. Des technologiques innovantes pour optimiser le désherbage de précision. Innovations Agronomiques, INRAE, 2020, 81, pp.101-116. ⟨10.15454/3t27-5f37⟩. ⟨hal-03256904⟩



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