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Dynamic model to detect weeds in cereals under actual field conditions

To implement spatially variable application of herbicides for weed control in arable corps, information on the distribution of weeds within the field is required. Manual surveying of weed patches is labor-intensive and not economic for production agriculture. As real-time patch spraying is still a difficult process, the overall objective of this research is to study the feasibility of automatically mapping weeds, a few days before the herbicide application.