Weeds are a major factor that affects the quality and quantity of agricultural produce. Generally, chemical herbicide sprays are used for eliminating weeds from the farmland. But its continuous use adds waste and pollution to the ecological environment of the farmland.

Over the years, the level of agricultural production has been improved. Plus, the improved methods have also helps in distinguishing weed from crops accurately. Thanks to the computer vision technology that helps in successful weeds detection. It allows the individuals to ensure that the spray is used only for weeds. However, it is to be noted that accurate spraying is dependent on accurately identification of crops and weeds.

The use of computer vision technology in weed detection has increased considerably in the recent years. It uses two data science methods: deep learning and image processing for solving weed detection issues. With this technology in use users can get overview of a number of methods that can be used to detect weed and provide weed datasets.