Detection and Removal of Weed between Crops in Agricultural Field using Image Processing

Agriculture is the back bone of the entire world. In olden days, more than 70% of the people are depend on Agriculture and related works. But now the theme changed the people are preferring the white collar jobs and profit motive made them to refuse the agricultural work. In other end the demand of food products are increased due to growing population. Inorder to fulfill the needs of the food and the other agriculture products the Automation is the right choice. Not only in the field of agriculture, the automation plays a vital role in each and every field to produce Quality output with reduced manpower. In the field of agriculture the man power is need much when compared to other fields, from ploughing to harvesting. In this process the removal of weeds is a tedious job and it requires more man power. Till date the weed removal can’t be automated due to some effects in crops because of automation. Herbicides plays a crucial role in removing the weeds and it also provides a good result at initial position but later the weeds dominate the field. In order to reduce the weeds the usage herbicide level increased day by day. Usage of Herbicides causes the land infertile and thereby causes the decrease in production of the crops. This paper deals with the weed removal technique which reduces the amount of herbicide usage on the entire field. By this process the herbicides are sprayed on the weed. In this process the weed removal can be done through the image taken from the field by using image processing..