83. WeedElec: a robotic research platform for individual weed detection and selective electrical weeding
Florent Abdelghafour, Florian Rançon, Sixing Liu, Julien Champ, V. de Rudnicki, C. Guizard, Hervé Goëau, Claude Doussan, Alexis Joly, Pierre Bonnet, Gilles Rabatel
- 发表年份
- 2021
- 引用次数
- 2
摘要
The project 'WeedElec' aims at developing a robotic intra-row weeding solution based on a highvoltage selective electrocution. lt 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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