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Vision-based weed identification with farm robots Organic Eprints
Swain, Kishore C.; Nørremark, Michael; Bochtis, Dionysis; Sørensen, Claus Grøn; Green, Ole.
Robots in agriculture offer new opportunities for real time weed identification and quick removal operations. Weed identification and control remains one of the most challenging task in agriculture, particularly in organic agriculture practices. Considering environmental impacts and food quality, the excess use of chemicals in agriculture for controlling weeds and diseases is decreasing. The cost of herbercides and their field applications must be optimized. As an alternative, a smart weed identification technique followed by the mechanical and thermal weed control can fulfill the organic farmers’ expectations. The smart identification technique works on the concept of ‘shape matching’ and ‘active shape modeling’ of plant and weed leafs. The automated...
Tipo: Conference paper, poster, etc. Palavras-chave: Weed management.
Ano: 2010 URL: http://orgprints.org/20653/4/20653.pdf
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