2018
DOI: 10.1177/1687814018776741
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Design and experiments of weeding teleoperated robot spectral sensor for winter rape and weed identification

Abstract: The objective of this research was to eliminate the influence of environmental stray light on the measured spectral reflectance in a spectral sensor system used on a weeding teleoperated robot for rape fields. The system mainly consists of a light source, signal acquisition, and data processing. In this study, optical modulation technology and discrete Fourier transform method were used to carry out experiments based on four characteristic wavelengths. The results show that the experimental system can obtain a… Show more

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Cited by 4 publications
(4 citation statements)
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“…Multispectral sensors also offer other benefits such as facilitating the differentiation of some types of plants from their environment, thanks to the different vegetation indices such as the chlorophyll absorption index and the cellulose absorption index, among others. Moreover, they provide more information during the feature extraction processes, such as those used in the OBIA methods (object-based image analysis) [11,[13][14][15][16], and SVM-based (vector support machines) classification techniques [8,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Multispectral sensors also offer other benefits such as facilitating the differentiation of some types of plants from their environment, thanks to the different vegetation indices such as the chlorophyll absorption index and the cellulose absorption index, among others. Moreover, they provide more information during the feature extraction processes, such as those used in the OBIA methods (object-based image analysis) [11,[13][14][15][16], and SVM-based (vector support machines) classification techniques [8,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…For data collection, optical sensors are the most widely used technology in weed recognition [10]. Various types of sensors, including machine vision, visible and near infrared (Vis-NIR) spectroscopy [11,12], multi-/hyper-spectral images [13][14][15][16], and distance sensing techniques [17], have been tested. These sensors can be grouped into two categories: airborne remote sensing and ground-based techniques.…”
Section: Weed Detectionmentioning
confidence: 99%
“…1/2 (13) where, Y oi and Y pi are, respectively, the i-th observed and predicted R w from N total data.…”
Section: R W =mentioning
confidence: 99%
“…Therefore, the accuracy of a satellite-based weed density map is limited. There are also some researchers mapping weed density using sensors installed on an agricultural vehicle platform, mainly tractors [8,[11][12][13]. In this method, sensors such as lidars, multispectral cameras, and hyperspectral cameras are installed close to the ground.…”
Section: Introductionmentioning
confidence: 99%