Assessment of a ground-based weed mapping system in maize

D. Andujar; A. Ribeiro; C. Fernandez-Quintanilla; J. Dorado

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Assessment of a ground-based weed mapping system in maize

in Precision agriculture '09

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D. Andujar

D. Andujar
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A. Ribeiro

A. Ribeiro
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C. Fernandez-Quintanilla

C. Fernandez-Quintanilla
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J. Dorado

J. Dorado
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Art:: Kapitel

Seiten:: 355–362

DOI:: https://doi.org/10.1163/9789086866649_043

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Abstract

Weed spatial distribution was measured with a ground-based weed mapping system. The system consists of three different components: (1) weed detection by optoelectronic sensors; (2) weed geopositioning by DGPS receiver; and (3) a data acquisition and processing system. Three optoelectronic modules were mounted on the front of a tractor at a 75 cm distance between them and at 60 cm height above ground level. Consequently, the system was able to explore a 2.25 m band, corresponding to three crop rows, detecting the vegetation present in the middle of the inter-rows maize area. The working capacity of the system was higher than 1 ha/h. The weed mapping system was evaluated in three maize fields during spring, when the crop was at 4-to-6 leaves stage. In order to verify the system with highly reliable data, digital images were obtained in random geo-referenced points distributed throughout the three fields. Three experienced observers rated these images for weed presence/absence, using a presence threshold of 15% weed cover. The comparison between the data obtained with the optoelectronic mapping system and from the values derived from visual assessments of the digital images showed a 84% correlation between the two sets of data. The comparison among the results obtained with various simulated distances between sensors (from 1.5 m to 6.0 m) indicated that the optoelectronic system could construct weed maps accurately using a distance between optic sensors of 4.5 m.

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Precision agriculture '09

ISBN:: 9789086866649

Verleger:: Wageningen Academic

Print-Publikationsdatum:: 01 Jan 2009

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- Biowissenschaften
  - Allgemein
  - Landwirtschaft und Umwelt

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Assessment of a ground-based weed mapping system in maize

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Precision agriculture '09

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