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Título: | Accuracy and Feasibility of Optoelectronic Sensors for Weed Mapping in Wide Row Crops |
Autor: | Andújar, Dionisio CSIC ORCID; Ribeiro Seijas, Ángela CSIC ORCID; Fernández-Quintanilla, César CSIC ORCID; Dorado, José CSIC ORCID | Palabras clave: | Weed detection Ground-based mapping system Sampling resolution Site-specific weed management |
Fecha de publicación: | 2011 | Editor: | Multidisciplinary Digital Publishing Institute | Citación: | Sensors 11 (3): 2304-2318 (2011) | Resumen: | The main objectives of this study were to assess the accuracy of a ground-based weed mapping system that included optoelectronic sensors for weed detection, and to determine the sampling resolution required for accurate weed maps in maize crops. The optoelectronic sensors were located in the inter-row area of maize to distinguish weeds against soil background. The system was evaluated in three maize fields in the early spring. System verification was performed with highly reliable data from digital images obtained in a regular 12 m × 12 m grid throughout the three fields. The comparison in all these sample points showed a good relationship (83% agreement on average) between the data of weed presence/absence obtained from the optoelectronic mapping system and the values derived from image processing software (“ground truth”). Regarding the optimization of sampling resolution, the comparison between the detailed maps (all crop rows with sensors separated 0.75 m) with maps obtained with various simulated distances between sensors (from 1.5 m to 6.0 m) indicated that a 4.5 m distance (equivalent to one in six crop rows) would be acceptable to construct accurate weed maps. This spatial resolution makes the system cheap and robust enough to generate maps of inter-row weeds. | Descripción: | 15 páginas, figuras, tablas estadísticas. | Versión del editor: | http://dx.doi.org/10.3390/s110302304 | URI: | http://hdl.handle.net/10261/38035 | DOI: | 10.3390/s110302304 | ISSN: | 1424-8220 |
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Andujar.2011 Accuracy optoelectronic sensors.Sensors.doc.pdf | 308,91 kB | Adobe PDF | Visualizar/Abrir |
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