Weeds create a dangerous situation for growing crops in the agricultural field. They directly affect the growth of the crops and hinder the yield by reducing the quality and quantity of crops. In order to find solutions for the problems created by weeds, so much research has been carried out in the different domains so that crop yield can be increased and the pollution of the soil and environment can be reduced which is caused by the excess use of fertilizers on the agricultural field to remove the weeds. Deep Neural Network algorithms have been used in the proposed system to classify the weeds and crops using different algorithms and discover the optimal solution. By considering the results obtained from the algorithms of the Deep Neural Network, The comparison has been made by considering the parameter like accuracy, and finally by applying which algorithm the highest accuracy has been obtained is noted.