Development of a machine vision system for a real-time precision sprayer

@inproceedings{Bossu2007DevelopmentOA,
  title={Development of a machine vision system for a real-time precision sprayer},
  author={J{\'e}r{\'e}mie Bossu and Christelle G{\'e}e and Fr{\'e}d{\'e}ric Truchetet},
  booktitle={International Conference on Quality Control by Artificial Vision},
  year={2007}
}
In the context of precision agriculture, we have developed a machine vision system for a real time precision sprayer. From a monochrome CCD camera located in front of the tractor, the discrimination between crop and weeds is obtained with an image processing based on spatial information using a Gabor filter. This method allows to detect the periodic signals from the non periodic one and it enables to enhance the crop rows whereas weeds have patchy distribution. Thus, weed patches were clearly… 
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References

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DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT
A machine-vision-system-guided precision sprayer was developed and tested. The long-term objectives of this project were to develop new technologies to estimate weed density and size in real time,
Spatial and Spectral Methods for Weed Detection and Localization
TLDR
This study concerns the detection and localization of weed patches in order to improve the knowledge on weed-crop competition and the development of a multispectral acquisition device is introduced.
Development of methods based on double Hough transform or Gabor filtering to discriminate between crop and weed in agronomic images
This paper presents two spatial methods to discriminate between crop and weeds. The application is related to agronomic image with perspective crop rows. The first method uses a double Hough
Crop/weed discrimination in simulated images
TLDR
A modeling of crop field in presence of different Weed Infestation Rates and a set of simulated agronomic images is used to test and validate the effectiveness of a crop/weed discrimination algorithm.
Crop–weed Discrimination by Line Imaging Spectroscopy
Abstract Two line imaging spectrometers covering the visible (VIS) and near-infrared (NIR) wavebands were further developed from remote areal application to close range application on single plants
Remote-sensing Technology for Vegetation Monitoring using an Unmanned Helicopter
Object detection using gabor filters
A gabor filter-based method for recognizing handwritten numerals
A vision based row-following system for agricultural field machinery
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