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Reliability of a Visual Recognition System for Detection of Johnsongrass (Sorghum halepense) in Corn

Published online by Cambridge University Press:  20 January 2017

Dionisio Andújar ,
Ángela Ribeiro ,
Cesar Fernández-Quintanilla  and
José Dorado
Dionisio Andújar
Affiliation:
Instituto de Ciencias Agrarias, CSIC, Serrano 115B, 28006 Madrid, Spain
Ángela Ribeiro
Affiliation:
Centro de Automática y Robótica, CSIC-UPM, 28500 Arganda del Rey, Madrid, Spain
Cesar Fernández-Quintanilla
Affiliation:
Instituto de Ciencias Agrarias, CSIC, Serrano 115B, 28006 Madrid, Spain
José Dorado*
Affiliation:
Instituto de Ciencias Agrarias, CSIC, Serrano 115B, 28006 Madrid, Spain
*
Corresponding author's E-mail: jose.dorado@ccma.csic.es
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Abstract

The feasibility of visual detection of weeds for map-based patch spraying systems needs to be assessed for use in large-scale cropping systems. The main objective of this research was to evaluate the reliability and profitability of using maps of Johnsongrass patches constructed at harvest to predict spatial distribution of weeds during the next cropping season. Johnsongrass patches visually were assessed from the cabin of a combine harvester in three corn fields and were compared with maps obtained in the subsequent year prior to postemergence herbicide application. There was a good correlation (71% on average) between the position of Johnsongrass patches on the two maps (fall vs. spring). The highest correlation (82%) was obtained with relatively large infestations, whereas the lowest (58%) was obtained when the infested area was smaller. Although the relative positions of the patches remained almost unchanged from 1 yr to the next, the infested area increased in all fields during the 4-yr experimental period. According to our estimates, using a strategy based on spraying full rates of herbicides to patches recorded in the map generated in the previous fall resulted in higher net returns than spraying the whole field, either at full or half rate. This site-specific strategy resulted in an average 65% reduction in the volume of herbicide applied to control this weed.

La viabilidad de la detección visual de malezas para su tratamiento localizado en base a mapas debe ser evaluada de cara a su aplicación en sistemas de cultivo a gran escala. El objetivo principal de esta investigación fue evaluar la fiabilidad y rentabilidad del uso de mapas de rodales de Sorghum halepense elaborados durante la recolección en otoño para predecir la distribución espacial de la maleza en la siguiente campaña de cultivo. Los rodales de S. halepense fueron localizados de forma visual desde la cabina de una cosechadora en tres campos de maíz, y su posición se comparó con la de los mapas obtenidos la primavera siguiente, antes del tratamiento de post-emergencia. Los resultados mostraron una buena correlación (71% en promedio) de la ubicación de los rodales de la maleza entre los dos mapas (otoño vs. primavera). La mayor correlación (82%) se observó con infestaciones relativamente grandes, mientras que la menor (58%) se obtuvo cuando el área infestada era más pequeña. Aunque las posiciones relativas de los rodales se mantuvieron constantes de un año al otro, el área infestada se incrementó en todos los campos durante los cuatro años del período experimental. Según nuestras estimaciones, la estrategia basada en aplicar una dosis completa de herbicida a los rodales localizados el otoño del año anterior produjo un beneficio neto mayor que la aplicación de herbicida sobre todo el campo, ya sea a dosis completa o a mitad de dosis. Esta estrategia de tratamiento localizado resultó en una reducción media del 65% respecto al volumen de herbicida aplicado en toda la superficie para el control de esta maleza.

Keywords

Johnsongrass, Sorghum halepense (L.) Pers. SORHAcorn, Zea mays L.Weed mapsvisual estimationpatchy weed distributionpatch spraying
Type
Weed Management—Techniques
Information
Weed Technology , Volume 25 , Issue 4 , December 2011 , pp. 645 - 651
Copyright
Copyright © Weed Science Society of America 

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