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Descripción
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| The society and EU legislation drive actions to achieve sustainable use of pesticides by reducing their risk and impact on human health and the environment. The concept of Integrated Pest Management (IPM) integrates as key element, the monitoring or continuous inspection of crops to ensure early detection thereof. Thus, new methods for crop assessment using robotic systems could help in this task. A novel approach using a mobile robotic platform has been designed and developed. The platform allows to perform an inspection on two types of scenarios: annual crops (maize, cereal, etc) and multiannual crops (orchards, vineyards, etc). A system acting on the throttle, brake and steering of the vehicle to control both, the vehicle speed and the vehicle turning, has been proposed. The combination of this system and fuzzy control techniques allow the autonomous navigation and the control of the platform while field inspection. With the acquired information, our group (Artificial Perception Group - GPA) is working on detection, characterization and recognition of crop plants (vineyards, maize, winter cereals) and weeds by the generation of 2D and 3D maps of crops. | |
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Internacional
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Si |
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Nombre congreso
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MCG2016: 5th International conference on Machine Control & Guidance |
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Tipo de participación
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960 |
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Lugar del congreso
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Vichy (Francia) |
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Revisores
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Si |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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05/10/2016 |
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Fecha fin congreso
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06/10/2016 |
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Desde la página
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1 |
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Hasta la página
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7 |
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Título de las actas
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