WeedElec: a robotic research platform for individual weed detection and selective electrical weeding
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.
Main Authors: | , , , , , , , , , , |
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Format: | conference_item biblioteca |
Language: | eng |
Published: |
Wageningen Academic Publishers
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Online Access: | http://agritrop.cirad.fr/608894/ http://agritrop.cirad.fr/608894/1/ID608894.pdf |
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