Sensor-based weed detection and application of variable herbicide rates in real time

Dammer, Karl‐Heinz; Wartenberg, Gerhard

doi:10.1016/j.cropro.2005.08.018

Cited by 47 publications

(36 citation statements)

References 3 publications

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“…An image processing system that estimates the relative leaf area is described as one of the most adequate methods for this purpose (Burgos-Artizzu et al, 2009). Several sophisticated approaches based on satellite images, robotic systems, and specific tools for weed identification have been developed (Gerhards & Oebel, 2006;Dammer & Wartenberg, 2007;López-Granados, 2011). Most of these tools require high levels of training for operation and have high costs associated with the technology and machinery.…”

Section: Resultsmentioning

confidence: 99%

“…Larger numerical values of NDVI are associated with greater crop vigour and greater amounts of aboveground biomass (Grohs et al, 2009). It is important to note the existence of similar equipment, such as the Weedseeker™ (Sui et al, 2008) and an optoelectronic weed sensor (Dammer & Wartenberg, 2007), Reflectance indices as adiagnostic tool for weed control ... which were developed specifically for the quantification of weeds. These equipment pieces have been used principally for discriminating between weeds and soil for herbicide application in vineyards and orchards (Lópes-Granados, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture

et al. 2012

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Several tools of precision agriculture have been developed for specific uses. However, this specificity may hinder the implementation of precision agriculture due to an increasing in costs and operational complexity. The use of vegetation index sensors which are traditionally developed for crop fertilization, for site-specific weed management can provide multiple utilizations of these sensors and result in the optimization of precision agriculture. The aim of this study was to evaluate the relationship between reflectance indices of weeds obtained by the GreenSeekerTM sensor and conventional parameters used for weed interference quantification. Two experiments were conducted with soybean and corn by establishing a gradient of weed interference through the use of pre- and post-emergence herbicides. The weed quantification was evaluated by the normalized difference vegetation index (NDVI) and the ratio of red to near infrared (Red/NIR) obtained using the GreenSeekerTM sensor, the visual weed control, the weed dry matter, and digital photographs, which supplied information about the leaf area coverage proportions of weed and straw. The weed leaf coverage obtained using digital photography was highly associated with the NDVI (r = 0.78) and the Red/NIR (r = -0.74). The weed dry matter also positively correlated with the NDVI obtained in 1 m linear (r = 0.66). The results indicated that the GreenSeekerTM sensor originally used for crop fertilization could also be used to obtain reflectance indices in the area between rows of crops to support decision-making programs for weed control.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture

et al. 2012

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“…In a field study to test the effectiveness of VRT in soybeans involving three herbicides rates (100, 67 and 33 % use rates), the medium rate provided weed control similar to that of the full rate (Thorp and Tian 2004) while the 33 % rate failed to provide acceptable levels of weed control. To overcome the difficulty associated with weed distribution differences, Dammer and Wartenberg (2007) designed a sprayer capable of applying variable rates of herbicides by detecting weeds using a sensor. In 13 field trails carried out in cereals and peas an average of 25 % herbicide reduction was achieved without causing any crop yield reduction.…”

Section: Technology In Weed Managementmentioning

confidence: 99%

Strategies for Reduced Herbicide Use in Integrated Pest Management

Chandran

2014

Integrated Pest Management

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“…Dammer and Wartenberg 22 established a spot-spraying system under two wavelengths of light (650 and 830 nm) and measured an NIR/R quotient. Dammer et al 22 have explored the spectral features of different kinds of weeds and crops for their identification under specified conditions.…”

Section: Introductionmentioning

confidence: 99%

Design and experiments of weeding teleoperated robot spectral sensor for winter rape and weed identification

Tao

et al. 2018

Advances in Mechanical Engineering

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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 stable reflectivity value no matter whether the stray light changes slowly or dramatically in the field environment. Furthermore, the calibration equation of spectral reflectance was obtained by curve fitting based on a FieldSpec3 portable spectrometer. The determination coefficients are all close to 1, and the root-meansquare errors are small. Through verification experiments, the results show that the average measurement error is less than 5%. Hence, this proposed method would be very helpful in improving the accuracy and efficiency of the spectral reflectance measurement, which in turn provides a theoretical basis for weed identification during in-field weeding by teleoperated robots.

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Sensor-based weed detection and application of variable herbicide rates in real time

Cited by 47 publications

References 3 publications

Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture

Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture

Strategies for Reduced Herbicide Use in Integrated Pest Management

Design and experiments of weeding teleoperated robot spectral sensor for winter rape and weed identification

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