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 cost intensive and therefore cannot be economical in a wider practice. Advanced fuzzy image processing based clustering is applied to segregate the weeds in crops to reduce the manual work. Image analytics is done by machine learning to accurately detect weed-infected areas.
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