Smart weed monitoring system can be said as an aborning topic in this new technological era. A weed plant can be described as a plant that is unwanted at a specific location in the given time. Due to the enormous usage of fertilizers and pesticides the weeds have also got increased in the agricultural fields. So in this paper we will bring the idea to detect the weeds effectively and also increases the productivity of the crops. In this article we can explore the scope of sustainable weed management, growing concerns on herbicide resistance, environmental and health hazards on using pesticides including herbicides and declining profitability are the major challenges of ‘high input’ agriculture. It also makes use of machine learning and image processing methods to efficiently detect the weeds present along with the crops. The Farmers have fought against the weed density as long as land has been used for food production. Automation in weed detection is one of the viable solutions for effective exclusion or reduction of chemicals involved in crop production. This study discusses and compares the weed control method and allows farmers to reduce the cost and expenses spent for the man power and manage these in an environmentally and economically sustainable manner.