DETECTION WEEDS IN THE FIELD USING IMAGE PROCESSING

Information about the dispersion of herbs (weeds) in the field is an essential for explicit treatment. Optical sensors make it conceivable to identify differing weed densities and species, which can be planned utilizing GPS information. The weeds are separated from pictures utilizing picture preparing and portrayed by shape highlights. An order structured on the highlights uncovers the type and quantity of weeds per picture. For the arrangement just a limit of 16 highlights out of the 81 processed ones are utilized. Highlights are utilized, which empower an ideal differentiation of the weed classes. The desire must be viable utilizing data mining calculations, which fee the discriminance of the highlights of models. On the off chance that no models are accessible, grouping calculations can be utilized to naturally create bunches. In a following stage weed classes can be appointed to the groups. Weed maps are created utilizing the framework. Weed maps are contrasted with the after impact of a guide weed examining.