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Conference Papers Year : 2021

WeedElec: a robotic research platform for individual weed detection and selective electrical weeding

Julien Champ
Alexis Joly

Abstract

The project ‘WeedElec’ aims at developing a robotic intra-row weeding solution based on a high-voltage selective electrocution. It performs the following tasks: weed detection and location, positioning of the weeding probe according to location results and electrical destruction of weeds. The detection is achieved using an RGB camera associated with the deep-learning solution of the ‘Pl@ntNet’ team. Discrimination results between crops and weeds attained 76% accuracy for maize and 62% for beans (field trials). Mortality rates weeds ranged from 75% (Polygonaceae) to 13% (Brassicaceae) for plants less than one month old (laboratory conditions). Survivors were nevertheless impacted with a severe limitation of their growth.
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Dates and versions

hal-03325689 , version 1 (25-08-2021)

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Florent Abdelghafour, Florian Rançon, Shiyu Liu, Julien Champ, Vincent de Rudnicki, et al.. WeedElec: a robotic research platform for individual weed detection and selective electrical weeding. EPCA 2021 - 13th European Conference on Precision Agriculture, Jul 2021, Budapest, Hungary. pp.695-702, ⟨10.3920/978-90-8686-916-9_83⟩. ⟨hal-03325689⟩
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