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Computer Vision System for Identifying on Farming Weed Species

Bruno M. Moreno,Paulo E. Cruvinel

2022 IEEE 16th International Conference on Semantic Computing (ICSC)(2022)

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Abstract
In the world, agriculture has been developed by combining new technologies for aid production and profitability while keeping environmental and social responsibility. The sector is primarily responsible to supply food for people, as well as fibers and energy. To keep such results, farmers have faced the need to seek, increasingly rational use of inputs, as is the use of pesticides, plant regulator...
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Key words
embedded platform,plant recognition,decision making,weed control,agricultural industry
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