Category: Discrimination between weed and crop via image analysis using machine learning algorithm
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Robust weed detection in image processing
The major benefits of automatic based weed systems which help to reduce the labor price and the usage of pesticides. Also, these systems locate the weeds in crops in an efficient way. In a survey done in Australia, it is reported that farmers spend about 1.5 billion dollars every 12 months for weed control activities. This is…
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Problem of the statement
During the past years, weed detection was done physically by humans. Afterward with the innovation in technology, herbicides came into use to expel the weeds. Then image processing came into use for weeding. In this chapter, detection of weeds in the crop using image processing will be focused on. Manual weed sampling is time and…
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Introduction
The agriculture field is working to save our environment by making certain exceptional changes in its practices to secure crop production. This approach is totally based on technology which can support soil preparation, planting and weed eliminating process. The most vital problems surface due to weeds which increase the biological competition with existing crop such…